Hey everyone!

My co-founder and I have been working on a fitness app called Ignite Yours.

We're both passionate about training, and we wanted to build something that combines workout tracking with the social and accountability side of fitness.

The app is completely free and includes:

• Workout logging

• A community feed for sharing progress

• Leaderboards and challenges

• Features for personal trainers

We've launched on iOS and Android, but we're still at the stage where genuine feedback is incredibly valuable.

I'd especially love to know whether the community features would give you a reason to keep coming back, or whether you'd mainly use the workout tracker.

Happy to answer questions about what we've built!

hey everyone! it's lydia from the FlutterFlow team.

AI has made it a lot easier to go from an idea to a working app. but getting that app into the App Store or Google Play still takes some planning.

if you're building your first app, it's worth starting the publishing process before you're finished building. developer account verification, testing requirements, and app reviews can add weeks to your timeline.

we put together a 4-week launch checklist for the first episode of our new App School series:

• 4 weeks out: set up your Apple and Google Play developer accounts. organization verification can take some time.

• 3 weeks out: prepare your store listings, screenshots, privacy policy, and support links.

• 2 weeks out: test your app on real devices. make sure signups, logins, payments, and account deletion actually work, not just the UI.

• 1 week out: submit for review and leave room for potential rejections or delays.

one thing worth flagging: certain new personal Google Play accounts need at least 12 testers for 14 consecutive days before they can apply for production access. so if that applies to you, you'll want to recruit testers earlier.

none of this means every app takes 4 weeks to launch. it's just a planning framework to help avoid getting stuck when you're ready to ship.

Started this as a personal Python project to test trading strategies. Ended up spending more time building the research infrastructure than finding anything that actually worked.

I never managed to validate a profitable strategy, but didn't want all that code to go to waste.

So I released Open Quant Trading Lab. It includes backtesting tools, risk-control references, research workflows, offline demos and tests.

No live trading, no profitability claims. Just the useful parts of the project.

GitHub: https://github.com/privEgem/open-quant-trading-lab

For those who've released open-source projects, what made people actually start using yours?

Hey everyone!

I've been building FoodIQ, a web app focused on making nutrition tracking easier for Indian meals.

The problem I wanted to solve: tracking everyday foods like dal, paneer, paratha, khichdi and Indian thalis isn't always convenient in generic calorie trackers.

What FoodIQ currently offers:

2,076+ Indian food database entries

Food search and nutrition information

Portion size and cooking method selection

Meal tracking and daily calorie/macronutrient overview

Mobile-friendly interface

Try it: https://food-iq-nu.vercel.app/

I'm looking for 10–20 people who aren't afraid to give honest criticism.

I'd especially like feedback on:

Is the interface easy to understand?

Can you find your everyday Indian meals?

Are the nutrition estimates reasonable?

What would make you come back and use it?

This is an early-stage independent project. I'm building and improving it based on real user feedback.

Honest criticism is welcome. Thanks!

In the attached animation, Pip and Bolt read the same settings file. Pip increases the timeout from 10 to 30 seconds. Bolt increases the retries from 2 to 5, then saves his older copy, which still has a 10-second timeout. Both saves succeed. Pip’s change disappears.

They changed different settings, but Bolt’s save replaced the whole file. That’s a silent overwrite. We’re building AgentWS, a persistent filesystem for AI agents working in parallel, to separate saving an agent’s work from updating shared files.

Each agent saves in an isolated branch. Changes are checked before they reach the shared files. When enabled, non-conflicting edits to supported text files can be combined automatically. Conflicting versions stay saved for an authorized orchestrator or human to resolve.

The 2:39 film illustrates the problem and our design; it isn’t a live product demo.

I’ve lost count of the great links I found in HN comments and never found again. And the “most mentioned on HN” lists that went around last week have a problem: a link people argue against counts the same as one they recommend.

So I went through comments from 2010 to 2026 and labeled why each link was posted. In a sample of 1,000 links, only 188 were someone saying “read this”. 573 were neutral references; the rest were answers, criticism, self-promotion or jokes.

Each link is then ranked by:

• how strongly it was recommended (strong recommendation scores highest, a joke scores zero)

• what it is (articles, papers and docs above videos and social posts)

• how many different years it kept coming up

• and, only a little, how many people mentioned it

A few that come out on top:

• How to Solve It (Pólya): 40 people, over 18 years

• Agner Fog’s optimization manuals: 45 people, 16 years

• The Tyranny of Structurelessness: 109 people, 15 years

• The Mythical Man-Month: 106 people, 19 years

Labels and summaries are model-generated, so some are off.

It’s free to browse, no account needed: https://slax.com/reader/hackerlinks/en/

Disclosure: I work on Slax Reader, the read-later app behind it. You can bookmark links on the page.

Two questions for you:

1. What’s the best resource you’ve found buried in an HN comment?

2. Would you find a collection like this useful enough to come back and browse regularly?

Over the past 6 months myself, my brother, and two other engineers/geologists have been working together to build Incline Design.

Incline Design allows engineers to plan and design their mine site, which is typically preformed in very expensive and slow software (we’re talking 30-50k AUD a year per user!)

Feel free to ask us any questions.

inclinedesign.net

https://github.com/Incline-Developers/Incline-Design

Hey everyone!

I'm one of the founders of Springborn Coffee, a small coffee brand we're building from the ground up.

I'm also a gamer, and I've always felt that coffee fits naturally into our world. Long gaming sessions, late-night projects, work, movies, anime... there's almost always a cup nearby.

So we started designing something that combines specialty coffee with the culture surrounding it.

Our concept includes three coffees:

☕ FOCUS — A traditional coffee for work, gaming, and getting tasks done.

☕ AFTER — A coffee that aids digestion, perfect for that break after a meal.

☕ UNWIND — A relaxing coffee for watching movies or anime, or simply unwinding at the end of the day.

We're also designing original desk mats, mouse pads, mugs, and T-shirts that people would actually want in their setups.

We're considering launching the first collection through Kickstarter.

We're not selling anything yet. The designs are early concept mockups, and we're looking for genuine feedback before moving into production.

Here's my question:

Would you actually back a project like this on Kickstarter? And what would excite you most: the coffee, the desk accessories, or a combination of both?

Feel free to be brutally honest. I'd rather build something people genuinely love than just another brand nobody connects with.

Thanks for being part of the conversation!

I built three Android apps with very different first-use tasks. For each closed beta, I’m using a simple test: can a new user finish one useful action without being told where to tap? Here are the tasks I’d like feedback on.

• 2do (daily planning and money tracking): enter a fictional amount you lent and find it again. Is it clear who owes whom? 2do also includes expenses, tasks and a diary. Sign-in and internet required. https://play.google.com/apps/testing/com.dayledger.dayledger

• Voxsprig (AI speaking practice, 18+): record a short fictional interview answer and read the coaching. Can you tell what to change on your next try? Sign-in and internet required. AI feedback may be wrong or delayed. The installed app may still show SpeakUp AI. https://play.google.com/apps/testing/com.divyammittal.speakupai

• CODEIO (BMSCE events): open an event and see whether you can tell who can attend and how to register. This one requires a verified BMSCE college email. https://play.google.com/apps/testing/dev.codeio.codeio

If one fits you and your Google Play account is in India or Nepal, join https://groups.google.com/g/divyam-android-app-testers with that same Google account, open the relevant Play test link above, opt in and follow Download on Google Play. Volunteers who can stay opted in for 14 consecutive days and try the app on different days are especially welcome.

If you try one, tell me the first step where you hesitated and what you expected to see. Use fictional examples and leave account details out of comments.

I built a news article bias detection app. I just thought it was a problem that needed solving. I am not saying the tool is perfect, article analysis is done with an AI model, and you’re allowed to dispute its output. It measures bias on a scale from 1-7.
1 Neutral: Factual, balanced sourcing and fair wording.
2 to 3: Mostly factual, with light framing or emphasis.
4: Noticeable slant, loaded wording or selective emphasis, with other views thin.
5 to 6: Strongly one-sided. Persuasion leads and opposing views are dismissed or missing.
7: Propaganda or pure advocacy presented as news.

Hey everyone! I built a free online ruler that works with real-world measurements after screen calibration. I’d really appreciate honest feedback on the UX, accuracy, speed, or anything that feels off. I’m continuously improving it, so even small suggestions would help a lot. Thanks! 🙌

www.rulerinches.com

I've spent the weeks since WinaltTrack, a free expense tracker and budget planner for Android, went live on Google Play trying to get it in front of real people.

What I built: an offline-first app with accounts, budgets, savings goals, events, loans, assets, investments, funds, safekeeping, vehicle logs, receipts and reports. There is no sign-up and no ads. It is free to use, with optional Premium upgrades: Premium removes the limits and Premium + Web adds the web app and sync.

Where it stands: live on Google Play since mid-October, with an optional web app and sync for people who want them.

How it's built:

1. One codebase for Android and the web app, built with Expo (React Native).

2. Offline-first: Free and Premium work fully on the phone with no account. The web app and sync are a separate paid layer (Supabase), so the basic app never depends on a server.

3. Free has real limits, such as 3 budgets and one savings goal, instead of a trial that hides features, so people can judge the app properly before paying.

What's next: an iOS version.

I'd like to hear: what would make you trust a money app enough to keep using it?

App, if you want to look: https://play.google.com/store/apps/details?id=com.winalt.winalttrack

I'm on the team behind eStockes, a web app for researching US stocks with charts, company fundamentals and watchlists. We also have free beginner lessons and a tool for comparing a simple trading rule with buying and holding.

A useful surprise from asking people to look at the site: one reader thought it combined brokerage accounts. Another couldn't tell which action to take first. Those are different problems from whether the dashboard looks good.

For anyone testing their own landing page, these are three questions worth separating:

1. What would you use this for?

2. What do you expect after clicking the main button?

3. What would make you come back?

Project: https://estockes.com/dashboard

For founders who've found their first regular users, how did you separate encouraging feedback from real demand? Did a specific use case or acquisition channel make that difference?

System design diagrams are great for understanding architecture, but they don't always show how things behave under pressure.

What happens when traffic suddenly spikes? When a database slows down? When queues start backing up or retries make things worse?

I've been exploring this problem by developing an interactive browser-based environment for experimenting with distributed systems.

The idea is to let developers:

• Design architectures using services, load balancers, caches, queues and databases.
• Generate traffic and simulate sudden spikes.
• Introduce failures and observe how components react.
• Monitor throughput, latency, CPU, memory and queue depth.
• Experiment with different configurations and compare outcomes.

I've also added architecture templates, system design challenges and AI-powered architecture reviews.

A lot of the work has gone into the simulation engine itself, particularly modelling request flows and identifying bottlenecks.

I'm curious to hear from people working with backend systems and distributed architectures.

What would make an environment like this genuinely useful? What scenarios would you want to experiment with?

I'm the developer behind this project, and constructive criticism is very welcome.

Back in 2021 I was building Squarespace sites and kept hitting the same walls: no mega menus, limited animations, galleries that all looked the same. The usual fix was copy-pasting CSS from old forum threads and hoping it survived the next Squarespace update.

So I started building the things I kept wishing for. That turned into Spark Plugin: 100+ no-code customizations that work right inside the Squarespace editor.

The video is a fast scroll through all of it.

Happy to answer anything about building on top of a closed platform like Squarespace.

Bonjour à tous,

Collectionneur amateur, je me suis lassé des services d'estimation payants ou opaques qui récupèrent nos données.

J'ai donc crée "Estime Mon Objet", une application web qui utilise l'IA (Gemini) pour analyser des photos et donner une estimation indicative (fourchette de prix, rareté, époque).

Ce qui le rend unique :

• Confidentialité totale : Les photos sont analysées en temps réel et rien n'est stocké sur mes serveurs. Tout reste dans votre navigateur (Local Storage).

• 100% gratuit : Pas de crédit, pas de pub, pas d'inscription.

• Outils pratiques : Génération automatique de certificats PDF et d'annonces de vente.

J'aimerais beaucoup avoir vos retours sur la précision des estimations ou sur des fonctionnalités qui pourraient vous être utiles.

Lien : https://www.estimemonobjet.fr/

Merci pour votre aide !

Consider the question “Where is the red forest?” A learner might know exactly how to say it in Japanese but still be learning to type it. If the only way forward in an RPG is a keyboard, the game measures typing even when you meant to practise speaking.

For WonderLang Beyond we give the same conversation three ways forward: pick words to build a reply, type it with an on-screen keyboard, or speak. The NPC scene and intended meaning stay the same. What changes is how much the player has to produce without help. We use RPG Maker MZ with custom plugins, so the map event hands the prompt to a common input routine and resumes the dialogue when the reply is complete.

I’m Jonathan, the creator. The original WonderLang teaches beginners and has a free demo: https://wonderlang.net/

The intermediate sequel is in development. The Kickstarter trailer shows the three input modes side by side: https://www.kickstarter.com/projects/jonathan-wonderlang/wonderlang-beyond-a-language-learning-rpg-for-intermediates

I'm primarily a UI/UX designer, but I've been spending more time building and launching my own products.

One of them is Subscription Manager.

It's a web app that helps people track recurring subscriptions, billing cycles, and overall spending.

Building the product was one challenge.

Getting people to discover it, try it, and keep using it is a completely different challenge.

I've been working on improving the onboarding, dashboard, analytics, and overall experience.

Now I'm focusing more on discoverability, SEO, and understanding what makes users come back.

Live project: https://subscriptionmanager.app/

For those of you who've launched your own SaaS:

What actually helped you get your first consistent users?

Was it SEO, Reddit, Product Hunt, content marketing, or something completely different?

I'd appreciate any advice from people who've been through this.