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Learning AI Tools
Discover and compare the best learning AI tools and software. Browse 52+ curated tools with reviews and rankings.
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Memory Chess is a free memory chess game and chess memory trainer that puts a number on your mind's eye. A round works like this: you choose how many pieces appear on the board and how long you get to study them, the position is displayed for that window, the board goes blank, and you rebuild the position from memory. On submit you receive an accuracy reading from 0 to 100% plus a map of every square you got right or wrong. It runs in the browser on desktop and mobile, needs no account, download or sign-up, and is available in 24 languages. Most chess practice trains decisions. As the site puts it, very little of it checks whether you can actually hold the board in your head, even though that skill sits underneath calculation, blindfold play and spotting tactics and is usually left to chance. The observation behind Memory Chess is concrete: three moves deep into a calculation, a bishop on the long diagonal quietly disappears from the picture in a player's head, and the board in front of them was right while the one in their mind was not. The product's hypothesis is that board recall is a trainable, testable skill. Rather than making claims about your brain, it holds a position briefly, has you rebuild it, checks the result, and lets you repeat with more pieces and less time so you have a reading you can track. One round, one clean number. You pick a piece count between 2 and 32 and a study window between 1 and 60 seconds, either through a preset or the custom rig, then press start and study the position until the meter empties. When the board clears there are no pieces and no hints: you select a piece from the palette, tap a square to place it, and tap a placed piece to remove it. Submitting compares your rebuild against the original and returns an accuracy percentage along with a square-by-square map, where correct squares, wrong placements and missed squares are each marked and nothing is hidden. Placing more pieces than the position actually had lowers your accuracy, so the game rewards only placing what you genuinely remember. Because a round takes under a minute, you can run many of them. Difficulty is expressed as two variables, with load going up while exposure goes down. Easy is 2 pieces with 10 seconds, described as just kings and perfect for starting out. Medium is 6 pieces with 10 seconds, a few pieces with comfortable time to memorize. Hard is 12 pieces with 8 seconds. Grandmaster is 20 pieces with 5 seconds, aimed at chess masters with photographic memory. The custom rig exposes both variables directly, 2 to 32 pieces and 1 to 60 seconds, so you can isolate a single weakness; the site's advice is to change one setting at a time and to move up a tier only when your readings hold steady rather than after one lucky round. A separate calibration reading loads the Medium round from a real game, 6 pieces including two kings with 10 seconds of exposure, and produces a readout card with correct squares, rebuild time, wrong pieces, exposure and recall by piece type, plus a suggested difficulty. Calibration works with mouse, touch and keyboard. Every round you play is recorded on the device and feeds a dashboard, because one reading is a snapshot and ten readings are a measurement. The figures cover memory span, pieces held at any setting, accuracy over time round by round, recall pace in seconds per piece, days in a row, a forgetting curve, a lab notebook of what happened and when, a miss map showing where your squares slip, recall by piece type, insights, programs, a goal tracker and personal bests per setting. Panels start as sample values and switch to your own record once you have played, and a panel that cannot read your record yet says what it still needs. Insights only appear once their numbers pass a minimum sample, and they name the counts behind them, for example that the a and h files were missed about 3.5 times as often as the centre files. Miss maps and piece-type breakdowns point to specific weaknesses, such as pawns and knights slipping first, and the pages link drills that address them. Several features turn isolated rounds into a practice routine. Today's board is one position a day, the same for everyone, opening at midnight UTC with a fixed study time and a single try, and the homepage shows how many pieces it has and how long you get. A streak counts any finished round, game or practice, for its day, with one missed day in any seven forgiven. Boards you score under 80% on return for review 1, 3, 7 and 14 days after you first see them, plotted as a forgetting curve that the site labels an illustrative model of the spacing effect rather than measured data. Programs give you one plan at a time: a seven-day Baseline week of one Medium round a day, a fourteen-day Edge-file drill at 8 pieces and 15 seconds reviewed against your miss map every three days, and an open-ended Step-down ladder that holds 90% for three rounds before cutting study time by two seconds and eventually adding pieces. Goal and personal bests track a target piece count and accuracy, and bests are kept per setting because 6 pieces and 20 pieces are different tests. The Learning Center walks through a full round on a real position, the final position of Kasparov's Immortal after 44.Qa7, as a worked example of one way to memorise a board rather than a recording of anyone's attention. It proceeds in phases: study eleven pieces for ten seconds and take in the whole board rather than square by square; fix anchors, starting with the two kings; chunk the eleven pieces into three ideas grouped by what they do to each other; encode each group as a sentence, Stand-off, Stairs and Long shots; let the board clear with nothing to do but hold three sentences; rebuild group by group, placing each group with its sentence before starting the next; then check the rebuilt board against the relations in your sentences before scoring. The example finishes at 91%, ten of eleven squares, and shows how a relation check catches a slip that a piece count alone would miss. The site cites de Groot's experiments, Chase and Simon (1973) and Gobet and Simon (1996) as background, and states plainly that the sentences themselves are a technique, not a research finding. The headline benefit is feedback: you cannot improve what you never measure, and Memory Chess replaces vague impressions of board vision with a number you can repeat and compare. Each round isolates recall from decision-making, so a weak result is not confused with a bad move. Because readings are stored per setting and plotted over time, progress and plateaus become visible, and the miss map and piece-type breakdown turn a general feeling of losing track into a specific file or piece to practise. Short rounds make regular practice practical, and spaced reviews put the boards you failed back in front of you at increasing intervals. Concrete scenarios follow from the settings. A beginner who does not know openings or calculate moves starts on Easy with two kings and ten seconds, then adds pieces or shortens time. A player who wants a baseline takes the calibration reading and keeps the readout card. Someone building a habit plays the daily board and protects a streak. A player whose misses pile up on the h-file runs the custom rig at 8 pieces and 15 seconds and reviews the miss map every three days. Visualization and blindfold training are served by the library guides on board vision, visualization, calculation, memory chunking and a four-stage blindfold plan, each paired with drills. Competitive players submit results to the leaderboard, which ranks by correct pieces, then fewer wrong pieces, then faster memorize time, then faster solve time, and shows each player's country. Memory Chess runs in the browser on desktop and mobile, is free to play, and requires no account. There is no server: your record is kept on the device, and you can download a copy of your lab record to move it to another browser or keep it safe, then import it, while backing up across devices is listed as coming soon. Adding a name to the leaderboard is optional, and players can also swap scores on Telegram. The site reports 48,697 games played. The reference library pairs short guides with drills so every reading points to something you can practise. Memory Chess turns chess memory into a short, measurable drill: study a position, rebuild it, read the number, and come back for the trend line. It is free, needs no sign-up, and gives players a way to test and train the board recall that sits underneath calculation, visualization and blindfold play.
Hintly for Google Meet™ is a Chrome extension that sits in your Google Meet toolbar and explains the terms, names and things people mention on your calls, a moment after they come up. The product describes itself as a small AI that lives in your Google Meet calls: it stays out of the way until something needs explaining, then shows a short hint on your screen. Its stated purpose is to help you follow the conversation as it happens, whether the gap is an unfamiliar acronym, a person's name you cannot place, or a reference you want clarified in the moment. It is built for people who want a little help keeping up with the conversation without interrupting the call to ask. The problem Hintly targets is the small, silent gap that opens up when someone says something you do not recognise. The site frames this around a familiar moment: nodding along when someone drops a term, a name or an acronym you do not know. Rather than letting that gap widen, Hintly surfaces an explanation on your screen a moment later, and the site stresses that hints land while the sentence is still fresh, so you never fall behind the conversation. A second problem the product addresses is accuracy: when someone gets a fact clearly wrong, such as the wrong year or the wrong inventor, Hintly quietly shows the right answer instead of leaving the error unchallenged. A third is continuity: names, projects and clients mentioned earlier in a call are easy to lose track of as the discussion moves on. The core explanation capability is the heart of the product. When someone mentions a term, a name or an acronym you do not know, the explanation appears on your screen a moment later as a short hint rather than a lengthy interruption. The site also covers the case where the speaker themselves cannot find the words: even when someone cannot remember what something is called, Hintly works out what they mean and names it for you. Because the hints are delivered quickly, they arrive while the sentence is still fresh, which is what allows you to stay with the thread of the conversation instead of catching up several minutes behind. A second feature group covers accuracy and recall during the call. Hintly includes live fact checking: when someone gets a fact clearly wrong, such as the wrong year or the wrong inventor, it quietly shows the right answer on your screen. The site illustrates this with a caller quoting Einstein and being corrected with a note that Einstein never said it, flagged as a common misattribution. Alongside that, Hintly helps you keep track of who's who: people, projects and clients from earlier in the call come back as a reminder when they are mentioned again, so a reference to someone's earlier numbers or an earlier decision does not slip past you. A third group concerns where the hints live while you work. Hintly comes with you between tabs: if you check your notes or your inbox during a call, your hints follow you in Meet's floating window. That means stepping away from the main Meet tab to look something up does not cost you the explanations you were relying on, and the assistance stays available in the same floating window rather than disappearing when you switch context. Overall, the product works as a lightweight companion inside an existing Google Meet call rather than as a separate app you have to manage. You install it in seconds, sign in with Google, and switch it on from Meet's toolbar whenever you want a little help keeping up with the conversation. Once it is on, it stays out of the way until something needs explaining, then shows a short hint. The design principle described on the site is minimal interruption: explanations are short, they arrive shortly after the reference is made, and they appear on your screen rather than being spoken into the call. The benefits described are direct consequences of that approach. You no longer have to nod along when an unfamiliar term, name or acronym comes up, because the explanation appears a moment later. You do not fall behind the conversation, because hints land while the sentence is still fresh. You get clarity even when the speaker cannot articulate what they mean, because Hintly works out what they mean and names it. You get quiet correction of clear factual errors, and you get reminders of the people, projects and clients who came up earlier in the call, so continuity is preserved from one mention to the next. The site's own examples show the kinds of scenarios the product is built for. In one, Marcus says, "Let's lock the OKRs before the QBR on Friday," and Hintly supplies the expansion "QBR — quarterly business review." In another, Tom attributes a quote to Einstein and Hintly notes that Einstein never said it, describing it as a common misattribution. In a third, Kenji refers to "Sarah's numbers from earlier," and Hintly returns "Sarah — head of finance, shared the Q3 forecast." Each example is a moment where a single missing piece of context would otherwise pull you out of the discussion. On availability and pricing, Hintly is distributed as a Chrome extension through the Chrome Web Store and is installed by adding it to Chrome, signing in with Google, and switching it on from Meet's toolbar. The first 60 minutes are free with no card needed, and Pro is $12 a month after that. The product is positioned for anyone on a Google Meet call who wants help following terms, names and references as they come up, from acronym-heavy business reviews to conversations where people and projects are referenced by name. The takeaway is straightforward: Hintly is a small AI in your Google Meet toolbar whose job is to keep you in the conversation. It explains what you missed a moment after it comes up, quietly corrects clear factual errors, reminds you who's who, and follows you between tabs in Meet's floating window — so you can focus on the call while Hintly handles the explaining.
Toby is an AI mock interviewer designed for anyone preparing for a real job interview. You paste a job description, and Toby builds the questions a real panel would ask, from the warm-up to the curveball, then interviews you on a Google Meet, Teams or Zoom-style call. Afterwards you receive a scored debrief that breaks down every answer: what worked, what to fix, and a stronger version of each answer built only from what you said. Toby Higgins, the AI interviewer, asks the questions, listens, and tells you exactly what to fix, positioning the whole product as "the interview before the interview." The core promise is that this is not a generic list of questions. Toby is built for the interview you have actually got. Preparing for an interview usually means reading a wall of sample questions that have nothing to do with the company, the role or the round you are facing, and then hoping the real conversation goes well. Toby instead researches the company, maps every round and plays the interviewer, then shows you exactly what to fix. Practice happens in a Meet, Teams or Zoom-style call "so the real thing feels familiar," and the closing message on the site sums up the outcome: walk in having done it already, having practised the hard questions before they count. The first part of the product is preparation. Tell Toby the role and it builds your brief: what the company does, how it makes money, what has happened lately and how the team works. The brief covers the company's stage, size, HQ and business model at a glance, recent news and culture signals, dated, and talking points worth raising in the room. In the worked example shown on the site, a candidate preparing for a Senior Product Manager, Payments role at Fernleaf is given a summary of the company as spend management for UK and EU small businesses (company cards, bill pay and expenses in one account), plus its Series B stage, £45m in funding, roughly 200 staff and a London HQ. Recent news items are dated, such as hiring a new CFO from a listed payments company in August 2026 and launching bill pay in Ireland and the Netherlands in June 2026. Suggested talking points include asking how SEPA failure rates compare with Faster Payments, noting that interchange is most of the company's revenue so authorisation rate is a revenue metric, and offering a short written plan for your first 90 days in light of the company's memo culture. The second part maps the interview itself. Toby maps the interview process and what each round is assessing, then lists the questions most likely to come up in each one. Every round is shown with how long it runs and what it tests; in the example these are a 30-minute recruiter screen, a 45-minute hiring manager round, a 60-minute product case and a 45-minute values interview. Questions are tagged by competency and difficulty, and marked when real candidates have reported them. The site lists sample questions such as "What made you apply to Fernleaf, and why this payments role in particular?" tagged customer focus, motivation and easy, and a question about leading a squad of six engineers without line management tagged cross-functional leadership, leadership and medium. Users can also browse separate company interview guides. Practice is shaped around the round you are facing and the time you have. You pick the round (recruiter screen, hiring manager, product case or values) and the length, choosing 10, 20 or 30 minutes, whatever you've got. Real mode runs the interview straight through, like the day itself, with the full debrief at the end. Coach mode gives you a note or two after each answer and a chance to try again, and coach notes only appear once you have finished talking. The call is taken in a Google Meet, Teams or Zoom-style environment so the real thing feels familiar, with your camera on or off, and Toby will wait while you think. If you leave the call, he waits: "he's very patient," and you can rejoin. The debrief is where the feedback lands. You get a score against the role's rubric, then every answer is broken down: what worked, what to fix, and a stronger version built only from what you said. Each competency is scored 1–5, with the quote behind it, and the debrief also reports pace, talk time, filler words and answer length, alongside the full transcript, question by question. In the example on the site, a recruiter screen debrief scores 60 out of 100 with the headline "Solid examples, light on measurable impact," customer focus scored 3/5, talk time 35%, pace 136 wpm against a 130–160 ideal, and one filler word ("actually" ×1). The stronger version is built only from what the user said and adds bracketed prompts — such as adding the result as a number, from what, to what, over what time — that the user fills in with their real details. Overall, the method is simple and explicitly described. You paste a job description; Toby researches the company, maps every round and plays the interviewer; you take the call; and you get a scored debrief and a stronger version of each answer. Everything it tells you is anchored to your own words rather than a generic script, which is what makes the feedback specific to your role, your company and your rounds rather than to interviews in general. The stated benefits follow directly from that loop. Because you have already sat the interview once, in the same style of call, familiarity replaces novelty on the day. Because each competency is scored with the quote behind it, you know exactly what to fix rather than vaguely feeling underprepared. Because delivery metrics such as talk time, pace and filler words are surfaced, you can adjust how you speak as well as what you say. And because the suggested rewrites are drawn only from your own answers, the improved version still sounds like you, with placeholders prompting you to add the numbers and details you left out. Typical use cases are the rounds the product supports. You might rehearse a recruiter screen before an introductory call, work through hiring manager questions that probe your background and domain experience, run a longer product case round, or prepare for a values interview. Between rounds, Coach mode lets you pause after each answer, take a note such as "Good, specific example. Now size it: from what, to what, over what time?" and try again. Separately, the prep brief lets you research a company before the interview, gathering its business model, latest news and talking points worth raising in the room. Pricing is pay by the minute rather than a subscription. Your first 5 minutes on a call are free — enough to warm up and see how Toby's feedback works — and prep briefs, likely questions for every round, Real or Coach mode and a debrief on what you answered are included; you save a card to see your debrief, and it is not charged. After that, minutes cost £0.50 each, bought in packs from £5, are only used on a call, and last 6 months. There is no subscription, you can stop whenever you like, and every round and both modes are available. The pricing panel lets you choose a mock interview of 10, 20, 30 or 60 minutes, with £10.00 shown in the example. Toby runs on the web, with sign-up through app.usetoby.ai. In short, Toby's value proposition is that you can practise the hard questions before they count. It turns a job description into a researched prep brief, a mapped interview process and a realistic mock interview call, then converts that call into scored, quotable feedback and stronger answers built only from what you said — so that on the day, the conversation is something you have already had.
Fluence is an Android app that turns the PDFs, ebooks, reports and saved articles you already have into something you can listen to, follow along with, and ask questions about. It is built for people who want their reading to move with them, and for people who care about where their documents go. Everything Fluence does happens on the phone in your hand: reading the file, making the speech, and answering your questions. Whether you are working through a long report, listening to a novel, or catching up on articles you saved weeks ago, Fluence reads the document aloud while you follow the text, and it can answer questions using the document's own passages. Most people already have a reading pile they never get through: PDFs, ebooks, reports and saved web articles that sit unread because there is simply no time to sit down with them. Listening is one way to get through that pile, turning otherwise idle moments into reading time. The usual options for listening to text, however, involve sending your documents to a server, creating an account, and paying a recurring subscription. Fluence takes a different approach by keeping the entire job on the device: the reading, the speech, and the question answering all run on the phone, and there is nothing to upload before the app can start working. The reading experience is designed around following along. The sentence being spoken lights up as you listen, so your eye can track the text while your ears hear it, which helps you keep your place and stay oriented inside a long document. Beyond simply moving through the text, Fluence lets you bookmark a line or write a note beside it, so the passages and thoughts that matter to you stay attached to the document itself rather than living in a separate place. Because your library and your notes stay on your phone, the record of what you read and what you thought about it stays with you. The voice that reads to you arrives with the app. There is no voice pack to pick and nothing to download first, and the built-in voice reads 31 languages. That means you can start listening immediately after installing the app, without waiting for a download or choosing between different packs. If the built-in voice is not what you want, Fluence also lets you use your own voice, made from a short recording you speak yourself. The voices live on your phone along with everything else, which is consistent with the app's on-device approach to reading and speech. Fluence also lets you ask about what you read. You can put a question to the document and get an answer drawn from the document itself, with the app showing you the passages the answer came from. Because the answer is grounded in the source text and the source passages are shown, you can check the answer against the document rather than taking it on trust. This turns a long PDF or ebook into something you can interrogate, not just listen to. One of Fluence's more distinctive capabilities is turning any book or document into a single audio file. Fluence prepares the audio for the whole document ahead of time while you do something else, and tells you when it is ready. What you get is one file to keep, to play in the car, or to send to another app. Preparing the audio is free; saving it out is part of the full version of the app. This makes it possible to build your own audiobooks from material that was never available as an audiobook in the first place. Privacy is central to how Fluence works. The app does all the work on the device in your hand: reading the file, making the speech, answering your questions. There is no account, no server and no subscription, and the app works offline. Your library, your notes and your recorded voice stay with you. For anyone who has hesitated to send contracts, reports, medical documents or personal reading to a cloud service simply to hear them read aloud, this on-device design removes that step entirely. Fluence opens what you already read. It supports PDF, EPUB, Word, OpenDocument, Rich Text, Slides, Text, Markdown and web articles, and it presents books and documents side by side in one library. That format coverage means you do not have to convert files before using them, and you can keep the ebooks you bought alongside the reports you were sent without splitting them across different apps. Fluence is sold as a one-time purchase rather than a subscription. It costs €14.99, and buying once means it stays yours, on every phone you sign into with the same Google account. Ten documents are free, so you can see how it feels before paying. The app is available on Google Play for Android, and because nothing leaves your phone, it keeps working offline for good. The benefits follow directly from how Fluence is built. You get a reading app that works wherever you are, including without a connection, because the speech is generated on the device. You get through more of the material you have already collected by listening to it rather than only reading it. You keep control of sensitive documents, since they are never uploaded. You avoid a recurring bill, since the app is a single payment. And you end up with audio you can keep, because any document can be prepared as a single audio file you can save, play in the car, or send to another app. In practice, Fluence fits a range of everyday situations. A commuter can load a PDF report or an EPUB novel and listen with the text lighting up sentence by sentence, keeping their place even if they look away. A driver can prepare a document's audio ahead of time and play the resulting single file in the car. A student or researcher can bookmark lines, write notes beside them, and then ask the document questions, checking the answers against the passages the app shows. Someone who reads in more than one language can listen in any of the 31 languages the built-in voice supports, or record a short sample to hear the text in their own voice. And anyone handling confidential material can keep the whole workflow on the phone, with the library, notes and recorded voice never leaving the device. Fluence's core promise is simple and specific: your books and documents, read aloud by a voice you choose, with everything happening on your phone. It combines reading-along highlighting, bookmarks and notes, an on-device voice covering 31 languages, the option of your own recorded voice, document-grounded question answering, and single-file audiobook export, then wraps all of it in a one-time purchase with no account, no server and no subscription. Ten documents are free to try, and for anyone who wants to listen to their own documents without handing them over, that combination is the point.
Coddy is an interactive platform that teaches people how to code through short, gamified lessons available in more than 20 programming languages and technologies. According to the site, it covers Python, JavaScript, TypeScript, React, Next.js, HTML, CSS, Java, C++, SQL, C, C#, PHP, Dart, Golang, R, Rust, Lua, Luau, Ruby, Swift, SwiftUI, Verilog, Solidity, Kotlin, Assembly, AI Prompts, Terminal, Excel, Git, Docker and Kubernetes, among others. The product is aimed at anyone who wants to learn to code — from complete beginners writing their first line to learners building a finished project — and it is designed around the idea that learning to code should feel like a game you want to return to every day rather than a textbook you dread. Coddy runs on the web, iOS and Android, and the company states it is free to start with no setup required. Coddy's founders — Barak, Nati and Kevin — state that they built the product because learning to code should feel like a game you want to come back to every day, not a textbook you dread. That framing drives the whole product: lessons are deliberately short, interactive and designed to be finished, rather than long passive courses that learners abandon. Traditional coding education often requires environment setup, downloads and configuration before a single line runs, which is a common reason beginners stop early. Coddy removes that barrier by letting people write and run real code directly in the browser with no setup required, and by turning daily practice into a habit through streaks, leagues and rewards. The result, according to the site, is a platform where over 5.5 million codders have joined and where the mobile apps hold 4.9-star ratings on iOS and Android. Coddy's catalog spans more than 20 languages and technologies. The site lists Python, JavaScript, TypeScript, React, Next.js, HTML, CSS, Java, C++, SQL, C, C#, PHP, Dart, Golang, R, Rust, Lua, Luau, Ruby, Swift, SwiftUI, Verilog, Solidity, Kotlin, Assembly and AI Prompts, along with Terminal, Excel, Git, Docker and Kubernetes. Each language has its own landing page, and many include reference documentation and a browser playground where you can write and run code without installing anything. There are also Spaces beyond programming: a Coding space to write and run real code from your first line to a finished project, a Chess space to learn the rules, tactics and openings one interactive board at a time, and a Math space in Beta where you solve equations move by move and draw graphs by hand with every step checked on an interactive board. Tutorials, guides and stories are published on the Coddy blog. At the heart of Coddy is a real code editor that runs in the browser. Lessons let you write actual code, hit Run Code, and check your work against built-in test cases that report pass or fail along with the expected input and output. The interface shows a console alongside the editor, so you can see what your program returns and compare it with what the test expects. Bugsy, the AI tutor, sits right next to the editor with an Ask AI button: it reads your code and your error, explains what is happening and offers hints — but, as the site emphasises, never the answer. Separate Playground pages exist for individual languages such as Python and JavaScript, described as a place to write and run code in the browser with no setup required. Coddy also offers an Embed Editor that lets you add a free, runnable code editor to your own site with a single iframe. Coddy builds daily habit through a gamification layer. A streak counter tracks consecutive days of activity, with a calendar view and a reminder to return tomorrow to keep the streak alive; Streak Freeze items let you protect a streak on days you miss, and a Double or Nothing challenge runs over multiple days. Learners also carry a score and an energy meter, and their progress is mapped on a Journey board of hexagonal lesson nodes — completed, active and locked — connected by paths, where each node is a lesson such as a theory or challenge step. Beyond the journey, Coddy includes Goals and daily challenges, a Leaderboard, and a Profile. The leaderboard is organised into leagues: the Challenger League shown on the site advances the top 7, with a promotion zone and ranked positions displaying streak length and score. Social features encourage learners to invite friends and earn rewards. Coddy deliberately offers every way to learn within a single lesson. The site describes four complementary modes: Audio, which narrates the explanation (for example, an introduction to variables read aloud with playback controls and speed adjustment); Quiz, to test yourself; Ask AI, to question the tutor; and References, to look up anything you have already covered. Around the courses sit a set of free resources: Docs with reference documentation for every supported language, Cheat Sheets with quick-reference tables, a Glossary of plain programming definitions each with a runnable example, a page of Git Commands with syntax, flags and examples, Visualizations that show algorithms and data structures running step by step, and Tools offering free developer utilities such as formatters and converters. Courses are also paired with Certifications, so learners can earn shareable certificates by completing them. Coddy's approach is to make each lesson small enough to finish and interactive enough to require doing rather than watching. A learner follows the Journey, opens the next unlocked hexagonal node, reads or listens to the theory, then completes a challenge by writing real code in the editor, running it, and passing the test cases. If they get stuck, Bugsy reads their code and error and hints at the direction without handing over the solution, while Ask AI and References let them dig into concepts they have already covered. Daily play is reinforced by the streak system, energy, score and weekly leagues, and progress is visible on the profile. Because everything runs in the browser, the same account works across web, iOS and Android, so a session can continue on a phone during a commute. At the end of a course, the platform issues a certificate that can be added to LinkedIn. The stated benefits centre on consistency and completion. Because lessons are short and gamified, learners are encouraged to show up every day — the site notes that a streak can be protected with freeze days and that rewards are earned for showing up daily. Because the editor and test cases give immediate feedback, learners can tell whether their code works rather than guessing. Because the AI tutor hints instead of answering, learners are pushed to reason through problems instead of copying solutions. Certificates give a tangible outcome: every completed course produces a certificate that can be added to a LinkedIn profile or resume to showcase coding expertise to employers, and the certified example shown is Python Fundamentals. Ratings of 4.9 stars on iOS and Android, and a community of more than 5.5 million learners, are presented as evidence that the format works. Coddy supports several concrete scenarios. A complete beginner can start the Coding space and write their first line of code straight in the browser, using Python or JavaScript lessons and the built-in editor with test cases. Someone who wants exposure to many technologies can move between the 20+ language tracks, from Python and SQL to React, SwiftUI, Solidity or Verilog. Learners preparing for interviews or coursework can drill with quizzes, cheat sheets, a glossary and step-by-step visualizations of algorithms and data structures. Teachers have a dedicated offering: Coddy for teachers lets them assign lessons, track progress and grade automatically. Developers can add a free, runnable code editor to their own site with the one-iframe Embed Editor, and people who want to go further can use Coddy Build to build full-stack apps with AI by chatting, previewing and publishing. Outside programming, the Chess and Math spaces offer interactive practice. Coddy is built for anyone learning to code — beginners writing their first program, self-taught developers picking up new languages, students, and teachers who want to assign and track lessons. It is available on the web, plus iOS and Android apps, so learning is described as taking your coding journey on the go with no setup and no downloads. Pricing is freemium: the Product Hunt listing states that everything is free with a daily limit, and that paid plans are available — Product Hunt visitors get 50% off any plan for 72 hours, applied automatically, and the landing page shows the discount saved and applied at checkout. Coddy also runs an Affiliate programme through which supporters can promote Coddy and earn commissions on referrals. Coddy's core proposition is simple: make learning to code something you actually finish and want to return to. It combines a catalog of 20+ languages with a real browser editor and test cases, an AI tutor that hints rather than answers, and a gamified habit loop of streaks, energy, score and weekly leagues — all wrapped in short, interactive lessons available on web, iOS and Android. Free to start with a daily limit, with certificates for completed courses and a range of supporting resources from docs and cheat sheets to visualizations and a code playground, Coddy positions itself as a practical, playful path into programming for millions of learners.
Keet is a personal learning platform that describes itself as an app to generate courses on any topic. Rather than offering a fixed catalog of pre-recorded classes, it produces personalized, interactive courses that combine short explainer videos with Duolingo-style games and quizzes. Each generated course comes with a structured roadmap, so learners move through bite-sized lessons and build towards real understanding instead of jumping between disconnected resources. The product is backed by Y Combinator and is available as a download for iOS, where users create an account and start building courses on subjects ranging from mathematics and physics to history and engineering. Most online learning platforms ask you to choose from the catalog they already have. If the subject you care about is niche, such as the history of San Francisco, Mongol war tactics or the mechanics of modern rocket engines, the material you want may not exist as a structured, interactive course at all, leaving learners to assemble scattered articles and videos on their own. Keet approaches the problem from the other direction: the topic comes first, and the course is generated around it. The site states that Keet is different from other learning apps because it lets you generate personalized, interactive courses on any topic that have a structured roadmap to follow. That combination of arbitrary subject matter plus a roadmap is the core of the product's promise, and it is why the platform frames itself as personal rather than catalog-based. Course creation starts with a topic. The website shows examples across several disciplines: Topology under Mathematics, Quantum Physics under Physics, Yankee Traders under History and Modern Rockets under Engineering, alongside cover art for The Big Bang, History of San Francisco, Mongol War Tactics and History of New York City. When you create a course, you can customize it: Keet lets you set the desired depth, complexity and narration style, so the same subject can be generated at different levels and delivered in the style you prefer. Getting started is described simply on the site: download Keet and create an account to start building personalized courses. Finished courses appear as cards with cover art, such as Introduction to Topology, History of San Francisco, Yankee Traders and Modern Rocket Engines. Each course generates with a set of lessons that contain videos and quizzes to help you learn. The videos are short explainer videos, and the lessons are deliberately brief. The sample Topology curriculum lists lessons such as Sets and Subsets, Limits of Visualizing Sets, Paradoxes and the Universal Set, Set Operations as Boolean Logic, Complements and Subtraction, Element-Chasing Proofs and The Empty Set and Vacuous Truth, each marked at around four minutes. The accompanying quizzes test what the video has just covered, so understanding is checked immediately rather than at the end of a long module. Watching a short explanation and then answering questions about it keeps the learner active, which is why the format pairs a video with testing at every step instead of separating teaching and assessment. Testing is delivered through games. Each lesson has several games that you can play to test your knowledge, and the site lists the formats available: Multiple Choice, Swipe, Order, Connections and Custom. Multiple Choice, for example, presents a question such as what the primary function of mitochondria in a cell is, offering options including protein synthesis, cell division, energy production through ATP synthesis and DNA replication, followed by a Check button to confirm the answer. Moving between formats, from swiping to ordering items to finding connections, turns review into something closer to Duolingo-style practice than a conventional quiz, which makes repetition more engaging and helps knowledge stick through varied recall. Courses have structured roadmaps, which are the backbone of how the material is organised. In the Topology example, the roadmap is divided into modules, and each module into lessons. Module 1, Abstract Set Theory, contains Lesson 1 Sets and Subsets, Lesson 2 Functions and Preimages, Lesson 3 Equivalence Relations and Lesson 4 Cardinality and Infinity. Module 2, Topological Spaces, covers Topological Spaces, Closed Sets and Closures and Topological Bases. Module 3, Continuity and Space Construction, includes Continuous Functions plus Subspace and Product Topologies. Module 4, Topological Properties, closes with Connectedness, Compactness and Hausdorff Spaces. Modules carry their own sticker artwork, and lessons list their individual topics and durations. The roadmap makes it easy to learn in bite-sized chunks, because each lesson is a small, finishable unit placed in a defined order that builds towards real understanding of the whole subject rather than offering isolated facts. Overall, Keet works in a generate-then-follow loop. You name a topic, adjust depth, complexity and narration style, and Keet generates a course: a set of lessons containing explainer videos and quizzes, grouped into modules that form a roadmap, with games attached to each lesson for practice. From there the experience is guided. The roadmap tells you what comes next, the video explains it, the quiz confirms it and the games reinforce it. Because the course is generated rather than curated from an existing library, the same mechanism applies whether the subject is a formal academic field like topology or a narrower historical topic. Access begins in the iOS app, where creating an account is the first step. For learners, the practical benefit is that the subject they actually want to study is the one they get a course about, with a structure that removes the guesswork of where to start and what to cover next. Lessons of roughly four minutes fit into spare moments, so progress does not require blocking out long study sessions. Quizzes and games provide immediate testing, which turns passive watching into active recall and gives fast feedback on what has been absorbed. Customisable depth, complexity and narration style mean the same topic can be matched to different levels of prior knowledge, so a beginner and a more advanced learner can generate different courses from the same subject and work at a pace and tone that suits them. The examples on the site hint at the range of use cases. A learner curious about mathematics can generate Introduction to Topology and work through abstract set theory, topological spaces, continuity and space construction, and topological properties in order. Someone interested in history can build courses such as History of San Francisco, History of New York City, Yankee Traders or Mongol War Tactics. A physics enthusiast can generate Quantum Physics, and an engineering-minded learner can study Modern Rockets or Modern Rocket Engines, or start from a topic like The Big Bang. In each case the workflow is the same: pick the topic, customise the course, then follow the roadmap lesson by lesson, watching explainer videos and playing the games that come with each lesson. Keet is positioned as a personal learning platform for anyone who wants to learn about a subject on demand, and the examples span academic disciplines, history and engineering, which suggests it is aimed at curious, self-directed learners rather than institutions. The product is downloaded for iOS, and iOS is the only platform named on the site, with the download linked to the App Store. Cost is described on the site in terms of credits rather than a subscription: if you sign up now you get two free courses, and after that you need to purchase credits to generate more courses. The site also notes that Keet is backed by Y Combinator. Keet's value proposition is straightforward: generate a personalized, interactive course on any topic, then learn it through short explainer videos, quizzes and Duolingo-style games arranged on a structured roadmap. It replaces the search for scattered material with a generated curriculum that is customisable in depth, complexity and narration style, and it makes progress tangible through modules, lessons and games. For learners who want a specific subject taught in a bite-sized, interactive format, from topology to the history of San Francisco, Keet offers to build the course on demand.
Soar90™ is a personal, self-guided onboarding platform designed for new hires and newly promoted professionals who want to start strong in a new role. Its core purpose is to give every user their own plan for success: a structured 30-60-90 day roadmap that delivers one clear task a day, a simple Win Log for capturing accomplishments as they happen, and a Review-Ready Report built from real progress. Users can select a career track tailored to their specific role or customize the plan themselves, and the product can be used standalone or alongside whatever company onboarding already exists. Soar90 was created by a recruiter together with practicing HR and talent-acquisition managers. New hires and newly promoted professionals typically receive systems training, a laptop, and a first-week schedule. What they rarely receive is a plan for their own success: what to focus on this week, and a record of the impact they build along the way. Soar90 began with a pattern its founder kept seeing as a recruiter and HR professional: talented people start strong, work hard, and then show up to their first review with nothing to show for it, not because they lacked impact but because nobody ever taught them to keep the receipts. The site cites Gallup's finding that only 12% of employees strongly agree their company does a great job of onboarding them, alongside Brandon Hall Group data that strong onboarding improves new-hire retention by 82% and productivity by over 70%. Soar90 turns that lesson into a simple daily habit: a task a day, a win logged in seconds, a report ready when you need it. The heart of Soar90 is the Structured 30-60-90 Day Roadmap. Each day the app surfaces one clear task, moving the user from learning the ropes in days 1-30, to contributing by day 60, to leading by day 90. The roadmap is organised around four phases. Pre-Start - Prepare Before Day One gives a head start with pre-onboarding tasks that set the user up to show up confident and prepared. Days 1-30 - Learn, Listen & Orient focuses on mapping the culture, building relationships, and understanding expectations, with the mantra to listen more than you talk. Days 31-60 - Contribute & Connect asks users to own their first project, set boundaries, and deepen relationships with their core collaborators. Days 61-90 - Lead & Grow is about delivering a quick win, building a roadmap, and proactively requesting the 90-day review. Phase-specific tasks, mantras, and reflection prompts guide each stage. The Win Log lets users capture accomplishments, praise, and shout-outs in seconds while they are fresh, so the record builds itself. A related Shout-Outs area is designed to capture the praise and recognition received along the way; when the next review arrives, the user has a complete record of the impact others see in them. In the app, the dashboard tracks how many tasks are done in each phase and shows progress percentages, while the Win Log screen displays a running count of total shout-outs, standouts, and the specific written feedback received, from a manager's note about saving a full sprint to a colleague's praise for an onboarding doc. The Review-Ready Report turns completed tasks and logged wins into a first-person summary ready for a manager, designed to be readable in five minutes. Its stated contents include an executive summary of the onboarding journey, key accomplishments organized by phase, standout highlights and wins, documented wins from the Win Log, personal reflections and learnings, and forward-looking goals for the next quarter. The report is generated from the user's real progress and can be printed or saved as a PDF. Crucially, AI is optional: users can write the report themselves if they prefer, and the app also supports creating your own report rather than generating one. Beyond the roadmap and report, Soar90 includes Weekly Check-Ins & Guidance, a 60-second pulse check with tailored scripts and boundary templates for when support is needed. Daily Email Reminders deliver personalized nudges with phase tips and motivational quotes to keep users on track. Milestone Tracking & Celebrations let users check off tasks, hit milestones, and receive visual celebrations that keep momentum alive. And Beyond Day 90, users can keep logging wins, generating reports, and using the roadmap for promotions, role changes, and annual reviews; the Win Log and Review-Ready Report remain available forever. Setting up a plan takes under two minutes. Users enter their real start date and Soar90 places them in the correct phase, so someone who already started a new job can jump straight in, and can also go back and complete tasks from earlier phases. A dashboard then shows the current day (for example, Day 45), the active phase, tasks remaining, and Today's Focus. The product is intentionally standalone: employer onboarding explains company systems and processes, while Soar90 helps users organize their personal progress and preserve proof of their impact. Plans, wins, and reflections are private to the user, since managers and employers cannot see those notes. A free, no-signup demo lets people preview the dashboard, browse sample tasks across all three phases, and experience a milestone celebration before buying. The stated outcomes are clarity, confidence, and evidence. After 90 days with Soar90, users know exactly what they did, can name the difference it made, and have a Review-Ready Report that says it in their own words. The app is designed so users never have to wonder whether they are on track, and they never scramble before a review again. Testimonials from new hires describe feeling focused and confident from day one, building strong relationships with a new team, and gaining real momentum in the first few months. A hiring manager quoted on the site says they will gift the app to new hires from now on. Concrete scenarios where Soar90 is used include starting a new job at a new company, where entering a real start date places the user in the right phase; an internal promotion or role change, where the plan adapts with tailored tasks for that situation; a return from a career break; and preparing for a performance or annual review by turning logged wins into a first-person summary. The product is also positioned as a gift from a recruiter or employer to new hires, and as something to run alongside whatever onboarding an employer already provides. Soar90 is for anyone starting fresh: a new job, an internal promotion, a role change, or a return from a career break. Pricing is a one-time $9 purchase with lifetime access and a 7-day money-back guarantee on the web, where checkout happens on the site. On iPhone, iPad, and Android, users purchase in the App Store or Google Play with their Apple or Google account, and in-app pricing is set by Apple and Google and may differ from the web price. There is no subscription, no recurring charges, and no cancellation needed. The site notes it was featured in USA News, and Soar90 is a trademark of LBurry LLC, Milwaukee, WI. Soar90's primary value proposition is simple: start with a 90-day plan, always know what to do next, and finish your first quarter with a documented, review-ready record of your impact. It replaces the guesswork of a new role with one task a day, a Win Log that builds itself, and a report ready when you need it.
YABAI is a Japanese slang dictionary that explains the vibe, not just the meaning. It gathers 308 Japanese slang, internet, fandom and everyday words into a single browsable collection and presents each of them on a card built around giant Japanese typography. Every card carries a punchy one-line meaning, the full sense in plain English, an original Japanese example sentence with a translation, a usage check, a culture note and the story behind the word. You can read every word on the website, or put all 308 of them in your pocket with the paid Android app on Google Play. The site opens by naming the exact gap it fills: 'Textbooks teach Japanese that stops at the classroom door. YABAI is the other half.' The words that fill real Japanese conversation, such as やばい, 推し, 草 and エモい, rarely come with clean one-to-one translations. やばい alone can read as 'Amazing,' 'Terrible' or 'Insane' depending on the situation, which is why YABAI's own video is titled 'One Japanese word means Amazing! and Oh no.' Slang, internet words, fandom words and untranslatable words shift with context and audience, so a single dictionary gloss is not enough. A learner also needs to know how a word sounds, when it is appropriate and who actually says it. That surrounding context is what YABAI sets out to supply for every one of its entries. The heart of the product is the word card, and the site is explicit that every word gets the same five things, one of which is the piece dictionaries never give you. First comes the Meaning: one punchy line followed by the full sense in plain English, so you get both a fast read and a complete one. Second comes the Example: an original Japanese sentence with a translation, and the site notes clearly that examples are never a quote and never a brand. Third comes the Vibe, a usage and tone signal. Fourth comes a Culture note explaining where the word sits in Japanese life, included whenever there is something worth knowing. Fifth comes The story, a short read on where the word came from and who says it now. The Vibe field is the part that answers the question the site poses up front: who you can actually say a word to. Each entry is labelled Safe to use, Friends only or Be careful, so a reader can tell at a glance whether a word belongs in polite conversation or is better kept among friends. On top of the safety label, entries carry tone hints such as self-deprecating, internet or Kansai dialect. These signals matter because the risk with slang is rarely understanding it, it is using it in the wrong room. A learner who has only just met a word can use the vibe check to decide whether to try it out, hold back, or adjust how they use it depending on who is listening. The story and culture sections are where YABAI goes beyond translation. Each card includes a short read about the origin of the word and the people who use it today, and the product takes an unusual stance on uncertain etymology: when an origin is genuinely disputed, the card says so instead of picking one. That choice keeps the dictionary honest and teaches the reader something about how living language works, since many slang words simply do not have a settled history. The culture note adds the surrounding detail about where a word sits in Japanese life, giving each entry a small amount of context that a bare definition cannot carry. The 308 words are organised into eight categories, each with its own count: Slang (72), Internet (58), Otaku (46), Everyday (44), Untranslatable (30), Reactions (26), Cute (24) and Anime-ish (8). You can browse all 308 words A to Z, or start with the site's selection of eight words, one drawn from each category, which introduces やばい, 推し, 草, エモい, それな, もふもふ, タイパ and ツンデレ. The category structure gives two ways in: follow a topic you already care about, such as otaku or internet vocabulary, or sample the whole range through the starting eight. On the app side, the dictionary ships inside the app rather than being pulled from a server, so it works offline, and the site states that nothing you collect leaves your phone. The dictionary is available in 13 languages, and every word can be read aloud by your device, so a learner can hear the word as well as read it. There is also video: the site presents 'やばい in thirty seconds', one word and one story, with more videos on the yabai page and on seven other word pages. The product was built end to end with AI agents in Claude Code, which the Product Hunt description states directly. Because the app is deliberately light, the experience is framed as a 'Japanese culture snack': open it for a minute, meet one word, close it. There are no streaks, no tests, no levels and no guilt, so there is no backlog to fall behind on and no pressure to perform. The outcome for a user is a growing, remembered feel for words they actually hear, rather than a list of definitions memorised for a review session. The cards themselves are designed to be looked at, with giant typography at the centre of each one, which makes the browsing itself part of the appeal. In practice, YABAI fits the moments when a learner runs into real Japanese. You hear a word in an anime, a drama, a song or a social feed and want to know what it means and how it sounds. You want to check whether that word is safe to use with a colleague, a friend or a stranger, which is exactly what the Safe to use, Friends only and Be careful labels are for. You want a short read on where the word came from, plus the honesty to be told when that origin is disputed. You want to browse a topic such as otaku or internet slang and pick up several related words at once. Or you simply want a one-minute culture snack, meeting a single word during a spare moment, in one of 13 languages, offline, with the word read aloud by your device. YABAI is built for people who study or consume Japanese and keep meeting words that never appear in a textbook: learners, anime and manga fans, J-pop and fandom followers, and anyone who reads Japanese social media and wants to know what they are actually looking at. It is available on the web at yabai-app.pages.dev, where all 308 words can be browsed, and as an Android app on Google Play. The site states plainly that it is a paid app with no ads, no sign-up and no subscription. The dictionary is shipped inside the app in 13 languages and works offline, which suits people who want to look a word up wherever they are. The takeaway is simple: YABAI is a Japanese slang dictionary that treats meaning as only the beginning. By pairing each of its 308 words with an example, a vibe check, a culture note and a story, it answers not just what a word means but how it sounds and who you can actually say it to, and it does so without streaks, tests or XP weighing the experience down.
One More Thing is a micro-learning platform that turns any subject into bite-sized cards you swipe through in minutes, not hours. The core promise stated on the site is one idea per card, one to three minutes a day, and it actually sticks. Instead of endlessly scrolling content you will forget, users choose something they want to know and learn it one card at a time. The platform is framed as a way to turn curiosity into a habit: every swipe is described as a step toward a sharper mind, and the stated goal is to walk into every room with one more idea than yesterday. The product is positioned explicitly against doomscrolling. Its headline is "Replace doomscrolling with one more thing," and the site argues that your curiosity is the last real currency and should not be traded for noise. The problem it addresses is the feed: content consumed in endless scrolls is forgotten, and cramming information does not make it stick. One More Thing does not ask users to abandon the swipe habit; it redirects it, so the same familiar gesture that powers short-form feeds becomes a step through a learning deck. The outcome promised is a daily dose of "huh, I didn't know that," reigniting the wonder you had as a kid. Subjects named on the site and in the Product Hunt listing include psychology, history, science, money, culture, languages and weird facts. Everything in One More Thing is built around decks. A deck is a stack of bite-sized cards on a single subject; each card carries one idea, with no fluff and no binge. Sessions run 1-3 minutes, and the site advertises "1-3 minute decks on any subject." In the demo shown on the homepage, a card displays a deck title such as "Table Basics" together with a single fact — "The periodic table has 118 confirmed elements" — and a "Tell me more" action for anyone who wants the reasoning behind it. Swiping a card up flips to the next one, and the described flow is simple: swipe through bite-sized cards, tap to reveal the why, quiz yourself, done in minutes. The format is deliberately short so a learning session fits into the moments normally spent scrolling. Retention is treated as a feature rather than a by-product. The site states that bite-sized cards plus quick quizzes add up to 50× better retention than cramming, and the demo sequence ends with "Quiz yourself." Quizzes sit directly after the cards, so the learner is prompted to check or recall what they just swiped through instead of passively browsing. This is the difference between consuming and actually sticking: the card delivers the idea, the tap-to-reveal delivers the explanation, and the quiz closes the loop so the idea is more likely to be remembered. Bite-sized sessions and immediate reinforcement are presented as the two ingredients behind that retention figure. Creation is part of the product, not an afterthought. Under "Create, don't just consume," the site explains that you can type a topic and AI builds you a deck on anything you can imagine, in seconds. That means the library is not limited to the curated decks listed on the browse page; if a subject is not there, the learner names it and gets a deck in the same card format. The browse section shows the range of curated material — including Elements: Sorted!, Fashion Unraveled: Style Secrets, Area 51: Secrets & Skies, Guinness Records Gone Wild, Master of Puppets: Metallica Unleashed, Master Manga Art & Technique, Laws Gone Wild, California's Best Kept Secrets and Sweep of the Blade Deep Dive — organized with subject tags such as Alkali Metals, Noble Gases, Halogens, Transition Metals, Table Basics and Alkaline Earth Metals. A single browse page leads into the full deck library. Progress and personalization are kept light. Decks award XP — the sample deck "Elements: Sorted!" displays 240 XP — and the Product Hunt description adds that users earn XP, build streaks, unlock badges and discover something new every day. Because decks are the unit of content, completing cards and finishing a deck naturally become the thing to track. Personalization is intentionally minimal: the site says there are three looks and one habit, and users can switch between Elegant Light, Royal Blue and Dark Brown anytime, right from their profile. The combination of XP, streaks, badges and a chosen theme is meant to keep the daily habit going without making learning feel like a chore. Put together, the product runs a short and repeatable loop. The learner picks something they want to know, swipes through a deck of one-idea cards for one to three minutes, taps to reveal more whenever a card sparks interest, quizzes themselves, and comes back the next day. Because the interaction is swiping, the product slots into the same muscle memory as the feeds it replaces — the site's framing is that every swipe becomes a step toward a sharper mind and that you reclaim your feed from the algorithm. Decks can come from the curated library or from AI generation on a typed topic, and each session is measured in minutes rather than hours. The site describes this as turning any subject into cards you swipe in minutes, with your time well spent. The stated benefits follow directly from that loop. Users scroll less and know more, with a session that fits in 1-3 minutes rather than an unbounded feed. Learning is designed to actually stick, with quick quizzes supporting retention, and the format avoids the binge cycle because a deck has a finite number of cards. Curiosity stays alive through a daily dose of new facts, and depth is framed as a social asset: being the one who knows one more thing, walking into every room with one more idea than yesterday. There is also a shift from consumption to creation, since a typed topic becomes a deck in seconds. Concrete use cases visible in the content include short daily learning sessions on subjects like psychology, history, science, money, culture, languages and weird facts; working through a focused subject deck such as the periodic table, where cards cover Table Basics along with Alkali Metals, Noble Gases, Halogens, Transition Metals and Alkaline Earth Metals; and building a deck on demand for anything else the learner names, such as fashion style secrets, Area 51, Guinness records, Metallica, manga art, unusual laws or local secrets. The browse page also implies casual discovery — browsing the deck library and choosing what to learn next. Because sessions are 1-3 minutes and the interface is a swipe, the product suits the spare minutes people already spend on their phones. Onboarding is kept light: free to start, no credit card, and sign-in that takes 10 seconds. One More Thing's value proposition is narrow and consistent: learn anything, one card at a time. By turning the scroll into a deck, capping sessions at a few minutes and pairing cards with quick quizzes, it offers a way to keep the habit of swiping while getting something worth knowing out of it. The site's own shorthand captures it — scroll less, know more, because there is always one more thing.
Duos is an AI-powered job interview preparation app that lets candidates rehearse a realistic voice interview before the real thing. You paste a link to a real job posting — the site says it can analyze any public link, including LinkedIn — and Duos builds the company, the role, the questions and a personalized interview flow around it. From there you put on headphones and talk out loud to an AI interviewer in a live voice conversation, just as you would in an actual interview. The product is built for anyone preparing for a job interview, from a first internship through to a senior career switch, and its stated purpose is simple: stop guessing why you are not getting hired, fix your blind spots, and land the job offer. Why Duos exists: the site opens with the blunt premise 'Stop guessing why you're not getting hired' and lists three reasons job interviews suck. First, preparation feels fake — rehearsing answers feels nothing like the real thing. Second, total uncertainty — the stakes are high and you don't even know if you're doing well. Third, no feedback — you get rejected and never hear what went wrong. The Product Hunt description frames the same problem differently, describing interviewing as 'a social game with unwritten rules, scored by people who never explain the score.' Duos positions itself as the rehearsal, a place to practice until you know exactly what to fix, so that you build real skills without risking real interviews. As the closing line of the site puts it, 'Practice here. Win out there.' Rehearse the real interview. The core workflow starts with a real job. You paste a link to a job posting — the site shows a LinkedIn jobs URL as an example and states that it can analyze any public link, even LinkedIn. Duos then runs an extraction process: reading the job post, pulling out the role, building the company and shaping the questions. You review the recognized job details, which include the company name, the role, the requirements and a role description. From there you pick the difficulty and the interview stages and generate a personalized interview flow. Because the simulation is built from your actual job posting and your CV, the questions stop being generic — the site notes that uploading your CV means the questions get built from your actual experience rather than staying generic. Talk and read the room. The interview itself is a live, realistic voice conversation. The interface shows the interviewer speaking and then waiting for you, along with emotional state indicators such as 'Pleased', 'Concerned' or 'Impressed', and a personality tag for each interviewer. Sessions are structured in question blocks — the example shown is an all-in-one interview with Mike of roughly 28 minutes and five questions covering small talk, past experience, UX strategy, design thinking, JTBD and Figma, and a Q&A. In-interview tools let you stay in control when you get stuck: you can see what is behind every question ('What does Mike really want to know?'), get hints based on your CV, go back and retry a topic, skip questions you're not ready for, show an example answer, explain the meaning of a question, or restore energy. The site emphasises that you have to talk out loud — 'It's a voice app, because the hardest part of job interviews is talking' — and that all it takes is headphones and ten minutes alone, with the option to pause any time to gather your thoughts. Get your game plan: the debrief. After the interview Duos produces a structured interview analysis described as a recruiter's opinion, plus an outcome such as 'Strong Yes', a count of red flags and a set of patterns. The example shown includes a hiring manager's written assessment, red flags such as negative remarks about a current workplace and a candidate speech level below expectations, confidence indicators, and a problem score. It also surfaces concrete speech patterns — for instance flagging a frequent filler word, quoting the exact replies where it appeared, and explaining how it affects you ('Stutters interrupt flow and distract from content'). The site promises a full breakdown with practical advice and real examples, and states that interviewers take notes about you and here you get to read them. Duos also tracks your performance across sessions, which the feature comparison table lists as something ChatGPT does not do and other interview apps rarely do. Stages and interviewers. Duos can run the whole hiring process or you can laser-focus on a single stage: a recruiter screen of roughly 10 minutes covering your background and motivation, a skills round of roughly 20 minutes covering your skills in action, projects, decisions and hard calls, and a manager chat of roughly 15 minutes about working style and team fit. Alongside the stages sits a large roster of AI interviewers, each with a distinct personality, demeanor and difficulty level. Examples from the site include Mike the know-it-all (100% honest, easy), Justin the impatient one (driven, hard), Mirna the mission-oriented (opinionated, mid), Marcus the high-pressure (authoritative, hard) and many more ranging from unhinged to encouraging, from hostile to supportive. The site frames this as 'Every interviewer hits different — choose who you're ready for.' Privacy. Duos makes explicit commitments about how your data is handled: your data stays private, is never sold and is never used to train AI. Your CV is scrubbed before any AI reads it, no human ever hears you, you can delete everything at any time, and only enterprise-grade, audited AI providers are used. In the FAQ the company confirms that nobody hears your recordings — it is you and the simulator, no recruiter on the line, no audience — that your audio isn't stored, and that you can delete your data whenever you want. The site also states that Duos does not judge your accent: it responds to what you say, not how you pronounce it, although it will still flag a sentence that is hard to follow, because a real interviewer would too. Why not just use ChatGPT. Duos is positioned explicitly against using a general-purpose chatbot for practice. Its comparison notes that ChatGPT drifts out of character, is always agreeable and rarely honest, asks few questions and then loses track, produces dense forgettable notes, and leaves you on your own. Duos, by contrast, is listed as offering consistent interview roleplay that stays in character, pushing back for real practice, simulating the full hiring process, producing a structured report, and offering tools when you're stuck. The Product Hunt description adds that there is a proudly over-engineered multi-agent stack inside, and that you talk to interviewers who have read your CV and can change tactics mid-conversation. The outcomes for users are focused on clarity and confidence. Instead of wondering whether you did well, you get red flags, green flags and an explanation of how to fix the patterns behind them. Instead of a rejection with no explanation, you get worked examples of better answers, and you can redo the question or redo the whole interview — nobody is keeping score but you, and failing here is the point. The site says the app builds real skills without risking real interviews, and reviewer quotes on the page describe it helping a freelancer land a first full-time design role in a competitive market, helping candidates practice interview English, boosting confidence, and pushing candidates on technical details such as API security. Concrete scenarios described on the site and by reviewers include preparing for a specific interview by uploading your CV and the job posting to get a simulation with specific questions; last-minute interview preparation; continuously improving skills to stand out from the crowd on the way to a new adventure; practicing interview English and fixing weak points in conversation; keeping interview skills sharp between real calls while staying in the context of your own profile; and rehearsing for any role and any level, from a first internship to a senior switch. The site notes that Duos will still ask hard technical questions and push you on your projects and decisions, but it is not a whiteboard tool. It also can't predict how a real conversation will go — the point, it says, is that whatever they throw at you, you can answer. Duos is available as a website and as a mobile app, with 5.0 ratings listed for both the App Store and Google Play. Pricing is straightforward: you get one full interview free with no card needed, and after that plans start at €22.99 a month, less if you pay quarterly, and practice is unlimited. It supports any role and any level. The FAQ answers questions about privacy, about whether you have to talk out loud (yes, it's a voice app), about what happens if you fail (you get feedback and worked examples of better answers), about whether it judges your accent (no), and about whether it supports technical interviews (it runs recruiter screen, skills deep-dive and hiring manager rounds but is not a whiteboard tool). In short, Duos turns interview preparation from guesswork into a repeatable loop: paste a real job, rehearse out loud with an in-character AI interviewer who has read your CV, then read a structured debrief that tells you exactly what to fix. Interview, debrief, repeat until you're ready — practice here, win out there.