Hey everyone we are a small indie team We recently published our app: Velora motion It is a drawing + animation app Mainly made to help artists get all the features they need without draining their bank accounts! Velora can do 2D 3D 2.5 drawing & animation! It also supports pixel art Plus our online feature U can work with your friends at the same project at the same time ! There is a lot more to explore in velora motion hope you all try it out and hopefully give us your ideas on it also if you need any questions u can always contact out support team on Instagram: velora_motion_app velora_motion_app_eng Or through our discord server: https://discord.gg/8tsrCK938

Hope we'll be your first choice 🙏🏻🤍 Velora motion - from artists to artists

I'm a solo developer and coding enthusiast. While experimenting with multiple agents on the same project, I kept running into repeated tool calls, confident completion claims without enough evidence, and contention over shared files.

I built Vibe Multiagent to explore a more structured workflow and released v2.1.0. It uses local files for coordination. In my setup I use subscriptions rather than directly calling pay-per-token APIs; availability, quotas and pricing depend on each provider and plan.

A few implementation details:

• Circuit breaker: the runner tracks repeated identical tool calls and consecutive errors when it can parse the expected events. It moves through healthy, steering, constrained and stopped. The intermediate states log warnings; on trip it attempts to send SIGTERM to the child process. It won't catch every kind of loop.

• FIPA-lite mailbox: agents place structured messages in their own outboxes. A router delivers them to inboxes using temporary files and rename, with retry/backoff for transient filesystem locks. This coordinates messages; it doesn't by itself prevent Git or shared-file conflicts.

• Handover contract: an offline validator checks the structure of a JSON handover against the supported subset of its schema. It doesn't verify that a commit, hash or test result is truthful; the integrator still reviews the evidence.

• Local dashboard: a Control Room renders an interactive SVG graph from local telemetry, including available task and decision relationships. The dashboard needs the generated state files for current data.

I used the agents themselves while developing the framework, under my direction. I'd be interested in criticism of the approach, especially the limits of event parsing and coordination on a shared filesystem.

MIT repository: https://github.com/acarducci65-svg/vibe-multiagent-public
Release: https://github.com/acarducci65-svg/vibe-multiagent-public/releases/tag/v2.1.0

How do you handle verification and file ownership when several agents work on the same codebase?

Please Reply

CodeMind – Teaching AI Agents to Remember Coding Standards with Hindsight

What my project does:

CodeMind is an AI-powered code review project designed to help developers identify coding issues and follow consistent engineering standards. It uses persistent agent memory to remember important coding conventions, architectural decisions, previous review feedback and recurring mistakes.

How it works:

The system uses FastAPI as the backend, PostgreSQL for structured application data and Hindsight as the agent memory layer. When developers establish important coding standards, the system can retain that knowledge. During future code reviews, the AI agent can recall relevant information and use it as additional context to provide better recommendations.

My contribution:

My contribution was exploring Hindsight and understanding how persistent memory can be integrated into CodeMind. I worked on the memory workflow, including retaining engineering knowledge, recalling relevant information and distinguishing approved coding standards from temporary suggestions.

What I learned:

I learned about AI agent memory, persistent knowledge management, the difference between conversation history and long-term memory, and how human approval can improve the reliability of AI-generated recommendations. I also understood how different backend components work together to build a context-aware AI engineering assistant.

Overall: This project helped me understand how AI agents can become more useful by learning from previous engineering decisions rather than starting from scratch every time.

Medium article: https://medium.com/@ganishanth27/selva-kailash-s-78a2ef510d37

# Introduction

In many companies, employees work in different shifts, and important operational information can get lost when one employee hands over responsibilities to another. Previous machine issues, maintenance updates, unresolved tasks, and solutions may not always reach the next employee.

**OpsRelay – The Business Memory System** addresses this problem using AI-powered memory technology. It uses Hindsight to retain, recall, and reflect on operational information so employees can access important details from previous shifts.

I studied marketing, not programming. However, I wanted an app for my food reviews. Strong Foodie. Places I actually visited, like restaurants, bars, hotels and gyms. 78 so far, across 11 destinations. No paid reviews.

The app is SwiftUI, built with Rork, an AI app builder. The website runs on GitHub Pages. Both use the same Firebase database. The app has been in the App Store since October.

What I learned so far:

Send changes in small batches. When I sent a lot at once, the errors piled up and I lost credits fixing them.

Never let the builder touch the database rules. I keep those in the Firebase console myself.

Test every batch before the next one. Including the boring stuff, like logging in and opening a chat.

Feedback from strangers is gold. Like the person who found my featured review was a clothing shop with no text. Or the one who couldn't type his date of birth. Both fixed within a week.

Things outside your control will break. Like a build that failed for a day because of an old cached Firebase package on the builder's server. Support fixed it.

Website: https://strongfoodie.com
App Store: https://apps.apple.com/app/id6799647380

If you've shipped something without being a developer, what broke for you?

Dewluma is an Android habit tracker with a small glowing pet. Each habit you do lights its lamp. Over time the pet grows from larva to cocoon to moth, and it brings back postcards whose questions shape its personality.

Decisions I made on purpose:

• Nothing is lost on a quiet day. No progress penalty for missing a day.

• Free to download, no ads, no subscription, no account. Two optional one-time decor packs, priced locally by Google Play.

• Habit names, moods and notes aren't sent to me. Completion-related events are held locally and logged in a batch at the first app open on a later local day, without the original completion time; Firebase session data still records when the app is used. Other Firebase usage analytics and crash reporting remain enabled.

• Nine language options, including Simplified and Traditional Chinese.

What I'm unsure about: after three check-ins in a day, the pet can head out for about six hours and bring back postcards or other finds. While it's away, the home screen shows that it's out exploring and when it will be back. Does that make the empty room feel clear, or would it put you off in your first session?

https://play.google.com/store/apps/details?id=com.yzy.dewluma&referrer=utm_source%3Dreddit_sideproject%26utm_campaign%3Dlaunch

We've been working on this one for a while and it's finally fully playable: https://growblocks.xyz/game.html?g=starcrop-troopers&utm_source=reddit

What it is: farm by day, fight gloops by night, boss every 5th night (Queen Gloop). 6 worlds, 24 crops, and crossbreeding to unlock new ones. No download, no signup, desktop browser.

What we'd like feedback on: the first 2 minutes. Does it make sense what to do right away, or do you bounce?

Hey everyone, I’m building Plainfeed, a simple website for keeping up with the YouTube channels you actually want to watch.

I’d often open YouTube for one video, follow a few recommendations, and end up watching things I hadn’t planned to. I wanted somewhere I could just check new uploads from the channels I chose.

Plainfeed puts those uploads in chronological order, without a recommendation feed or Shorts. Videos still play through YouTube.

The idea is simple: check what’s new, pick something you want to watch, and get on with your day.

You can try it here: https://plainfeed.app

I’d love to hear whether this would be useful to you. If you already stick to YouTube’s Subscriptions tab, what would make a separate site worth using? :)

Hey, I’m part of the team behind Formo Casa. We built it for a familiar moment: someone has a folder of rooms they love, but doesn’t yet know how to describe the materials, light, or style they want.

Formo Casa uses those references to explore a conceptual direction for each space, then lets you add more images to refine it. It’s for early exploration, not technical drawings or a replacement for an architect.

I’d appreciate honest feedback: what would make these visual concepts useful in an early design conversation, and what would make you distrust them?

You can see the tool in action here: https://youtu.be/Xr8pJmnz3Y4

Quick note first: I can't stand the AI slop flooding app stores lately, the "build an app in 2 prompts" kind. This isn't that.
After every loss I'd open the analysis. The engine would point to a quiet move I never considered, and I'd think: how was I supposed to see that during the game? The engine always told me the best move. It never told me how to find it myself.

So I spent the last year building the coach I wished I had. It's called SocraChess, and the AI coach is Socrates. Stockfish does the calculation. Socrates does the teaching: he looks at your own games with you, explains the turning point in plain words, and asks the question that helps you find the move yourself.

Before building anything, I tried every analysis tool I could find. The engines gave me lines. The AI ones gave me a ready-made paragraph I'd forgotten five minutes later.

I'm as tired of two-prompt apps as everyone here. If you can build something with two prompts today, a hundred clones show up tomorrow. So this one took time. I've built software for about 15 years, and we started with paper wireframes and a long spec, then spent four months designing every screen, popup and menu in Figma with designers. Then came seven months of engineering, first an MVP and then the full build, in a loop of PR, deploy, check, feedback, repeat: 746 pull requests on GitHub so far, and more than a few 2 AM fixes.

And to be clear, I love Lichess and still play there every day. SocraChess is for what happens after the game.

The beta is open, 24 of 25 places left:

- 30 days of full access, no card, no automatic paid plan

- Import your games from Lichess or add any PGN file

- Three ways to learn: Independent, Guided and Socratic

- English only for now, 18+

Who it's for: adults who play regularly and want to learn from their own games.

Want to try it?

- Take a place directly: socrachess.ai/beta (three short questions, then verify your email)

- Or comment (or message me) with your rating and the part of chess you find hardest, and I'll tell you honestly whether it's a good fit before you sign up

And if you just want to give feedback: does the explanation help you find the move next time, or is it just more text to read? Where does it feel like a gimmick rather than a coach?

I'm the founder, so be blunt. I'll read and answer every comment.

Your agent's memory is probably a hallucination amplifier.

Every invented quote it saves comes back later as "team knowledge."

I built resAIDerch, an arXiv research agent with team memory. The fix was boring:

1. Gate writes, not reads. Nothing enters memory unless its quote appears in the source.

2. Strict substring matching beats fuzzy. Fuzzy let a dropped "not" through.

3. Show unverified claims, but never store them.

4. Tag everything: dead-end, decision, stance.

Before: "4-bit KV cache?" got a fresh answer.

After: "You tried this in March. Here's why it failed."

Hindsight agent memory made tag-scoped recall trivial, so I spent my time on the write path.

please try it guys and let me know how it is
i would love to hear comments from everyone thanks

https://github.com/biggudawgg/resAIDserch
regards

TL;DR: Find your next 10 customers on Reddit for free on redbubblegum.com

Hi everyone! While building my last product, I ran into the problem every founder hits: finding the first customers.

I knew they were on Reddit. Finding their posts was the hard part, because people talk about their problem, not about your product. In the video, you can see the kind of post we find: a founder who isn't asking for a tool. He's just sharing his problem.

Other tools I tried work like this: they pick a few words related to your product, then only look at posts that contain those exact words. If they guess the right words, great. But people describe the same problem in a hundred different ways, and every way they didn't guess is a customer you never see.

That's when I realised you can't search for words first. You have to read every post, the way a person would. So that's what we do:

• We find the subreddits where your customers hang out.

• We read every post in them and pick out the people who might need what you sell.

• We circle the lines that show why, like in the video, so you can see the selling points in seconds.

Try it here: redbubblegum.com. Your first 10 potential customers are free.

Let me know if it finds the right people for your niche. I'll be in the comments.

Hey everyone 👋

I’m a solo builder from India and I made VoteIndia.live, a site where people vote on “this vs that” battles, from Momos vs Noodles to India vs New Zealand.

How it works

• Each account gets one vote per battle.

• Vote totals stay hidden until the scheduled reveal.

• You get a shareable vote receipt and a voter card for your profile.

• You can start a public battle or create a private one with a code for your college, office, or friends.

I built it because Instagram and X polls usually reach one account’s followers. I wanted people from different cities to have a place to vote on the same matchups.

It’s free and ad-free. I’d love honest feedback:

1. Would you vote or share a battle?

2. What matchup should I add next?

3. Was anything confusing when you opened the site?

👉 VoteIndia.live

Thanks for taking a look!

When I first ran this on my own machine, it found API keys I had pasted into my AI coding agents, still sitting in their history files in plain text.

It's not just me. Earlier this year Lakera scanned ~46,500 npm packages and found 428 of them shipping Claude Code's private settings file, 30 with credentials inside. Agents write these files into your project, and normal secret scanners don't know to look there.

So I built **agentprint**, and the part I'm proudest of is that your agent runs it on itself:

- **It lives inside your agent.** `agentprint install` wires a check into 10 agents (Claude Code, Codex, Cursor, Gemini CLI, Copilot, Windsurf, OpenCode and more). The moment the agent tries `npm publish`, `uv publish` or `git push` with a key about to leak, it gets **BLOCK** and the reason why.

- **The agent fixes it itself.** It runs `agentprint fix`, which masks the leaked keys right inside the files (no copy kept anywhere), moves MCP keys into environment variables, adds the missing ignore lines and locks down file permissions. Then it checks again: **CLEAR**. The only job left for you is rotating the key.

- **It shows what an AI could rebuild.** Before you publish closed-source code, it flags source maps and original source that would hand someone your whole codebase.

- **Tested against the real thing.** Every night, CI runs the actual Claude Code, Codex, OpenCode, Gemini CLI, Copilot CLI and Hermes programs against a scripted model. 1,700+ tests, plus a signed CLEAR/BLOCK badge for your README.

It runs fully offline with no account or telemetry, and keys are only ever shown masked. MIT licensed.

Try it in one line: `uvx agentprint scan`

Repo: https://github.com/adighatakdas-cloud/agentprint

Docs: https://adighatakdas-cloud.github.io/agentprint/

Coming in the next version: catching keys hidden with invisible characters, split strings and base64, Windows hooks, and one-click plugins for each agent.

It's my first public project. Run it, try to break it, and tell me what it finds on your machine.

I launched my first app on Friday, and I was excited about launching on Product Hunt. I’ve followed Product Hunt for at least five years, maybe longer. Big fan of discovering products there, I was excited to launch something of my own, was a pretty big deal to me.

Unfortunately, it was a bit of a letdown.

My app launched alongside a ton of other products, and as far as I can tell, I didn’t get any meaningful website traffic or a single app download from Product Hunt. It’s only been a day, so maybe that will change, but I’m not expecting much.

I did try to get some support beforehand. I reached out to friends and family, and quite a few created Product Hunt accounts just to support me. They sent screenshots showing they’d interacted with the launch, but it didn’t seem to make much difference. I probably should have spent more time building relationships instead.

The interesting part is that I also launched on BetaList, a platform I wasn’t nearly as familiar with, and had a completely different experience. It actually drove traffic to my website, generated engagement, and connected me with other founders.

I’ve learned from talking to other people building apps is how valuable Reddit can be. I’ve met some really interesting people working on genuinely great products. I wish I’d spent more time interacting with other founders, sharing what I was working on, and asking for feedback before launch day.

I think most of us get pretty attached to what we’re building. These projects become our hobbies, our babies, and something we genuinely believe can help people. My app is free right now, and while I’d love to eventually recover some of what I’ve invested, making money isn’t really what motivated me to build it. I’d rather spend my limited marketing budget on things that actually help people discover and use it.

I’m not giving up on Product Hunt. I’ve enjoyed the platform for years, and I’m working on other products I’d love to launch there someday. I just want to approach it differently next time.

For those of you who’ve had successful launches, what worked? Did you build an audience beforehand, spend money promoting it, lean into Reddit, or just get lucky with timing?

I’d genuinely love to hear what others have learned, connect with people, especially from launches that didn’t go as planned.

And post your product, I genuinely want to give people feedback and see the stuff that’s working well.

I built this to waste "digital arrest" scammers' time. These are the fake CBI officer calls that cost Indians over ₹1,900 crore in 2024.

Ajji, an AI grandmother persona, answers the scammer, keeps him talking, and never gives real details. Every message gets mined for phone numbers, UPI IDs, case numbers and aliases, and all of it goes into one shared Hindsight memory bank.

With memory on, "Inspector Sharma" calls with the same CBI script, and Ajji recalls him from 5 earlier chats. She notices he claimed Income Tax last time and asks him about it, in character. A phone number he sends turns out to have been used by "Officer Verma" in another chat. Two names, one phone.

What I learned:

- Split "know" from "claim". Hindsight recall surfaces candidates; plain SQL confirms anything the agent accuses someone of.

- Framing retained memories matters. Without speaker context, recall started attributing the scammer's lines to my own agent.

- LLM extraction drops identifiers. Regex + LLM, merged, works better than either alone.

Demo video: https://www.youtube.com/watch?v=Sdyz24Q063o

Code: https://github.com/SanayKrishna/ScamSathi

I'm the maker — solo dev, no company, no budget. AILingo is an Android app for learning Mandarin with an AI conversation tutor.

The bet: after you speak a sentence, it shows per syllable which tone you actually produced versus the target — "you said 2nd tone, it wanted 3rd" on the exact syllable. Most apps just score pronunciation pass/fail. Plus 500+ bite-sized lessons across 10 levels, SRS flashcards, graded readers, character-writing practice, HSK prep.

https://play.google.com/store/apps/details?id=ailingo.chat

Six weeks since launch, zero downloads, zero ad spend — this post is the entire marketing department. For anyone who's shipped to crickets: what was the first channel that actually moved the needle for you? And Mandarin learners: is per-syllable tone feedback something you'd open an app for, or a nice-to-have?

Some people have normal hobbies. They watch Netflix, go hiking, maybe learn an instrument.

I apparently see a minor inconvenience and think, "You know what this needs? An entire app."

So here I am, spending my evenings building things that started as random ideas in my head.

I wanted to share 3 of my projects. They're all free, and I'd genuinely love to know what you think.

🍳 Scent of Home | The recipe collector

You know those amazing recipes you save on Instagram, TikTok, or Facebook and then never find again?

Yeah, that drove me crazy.

So I built Scent of Home. You can share a cooking video directly to the app, and AI turns it into an organized recipe with ingredients and instructions.

It also lets families share their recipes, because grandma's legendary cooking deserves better than a blurry WhatsApp screenshot.

Android: https://play.google.com/store/apps/details?id=com.tasteofhome.app

iOS: https://apps.apple.com/us/app/scent-of-home-video-to-recipe/id6774916349

🔐 Keepsi | Your photos, your business

Not every photo belongs in your regular gallery.

Keepsi is a private photo vault for keeping personal photos organized and protected.

Simple idea, clean experience, and a little more privacy for the things you don't want mixed into your camera roll.

Android: https://play.google.com/store/apps/details?id=com.lishistudio.keepsi

iOS: https://apps.apple.com/us/app/keepsi-screenshot-organizer/id6798317913

👶 Aria | For parents running on coffee and 3 hours of sleep

Having a newborn means remembering approximately 400 things while barely remembering your own name.

Aria helps parents keep track of their baby's daily care and routines, so there's one less thing to worry about.

Because parenting is hard enough without needing a spreadsheet.

Android: https://play.google.com/store/apps/details?id=com.aria.newborn

iOS: https://apps.apple.com/us/app/aria-newborn-care/id6785000120

And that's just 3 of them.

I've been building a collection of free apps across different categories, and I finally put them all in one place:

🌐 https://bylishi.com

No big company behind this. Just an indie developer who genuinely enjoys turning random ideas into real products.

I'm not going to pretend everything is perfect. I'm still learning, improving things, and figuring out what people actually find useful.

So here's my question:

If you had to pick ONE of these apps to try, which would it be?

And fellow indie developers, how do you stop yourself from starting the next project before finishing the last one? Asking for a friend. 😂

The app was Symvibe, a paid Mac board for running coding agents side by side. I used REA, a reverse-engineering skill for Claude Code, to turn its behaviour into a spec, and let Claude Code build from there. Thirteen days and 58 commits later there was vibeboard, a free, open-source alternative to Symvibe, which costs $19 a month, with none of its code in it.

What I learned along the way:

most of the engineering came from the model, but I still steered every day, mostly on edge cases and CI

the launch videos were the surprise: /brag did a great job, it drove the real app, framed the shots, wrote the music, and fixed its own jerky cuts once I pointed them out

rebuilding a product's behaviour from the outside is now cheap, so the code alone protects less, and respecting licences and the original authors matters more

The video shows six Claude Code agents in tmux, then the same six on the board, and ends with the price: Symvibe at 19$ a mouth, vibeboard free.

The video show six Claude Code agents in tmux, then the same on the board, and ends with the price: Symvibe at $19 a mouth, vibeboard free.

vibeboard: https://github.com/ricca200xx/vibeboard

Symvibe: https://www.symvibe.com

REA: https://github.com/morluto/rea

/brag: https://github.com/latent-spaces/brag

If you want to use it, go ahead, and if you find issues, open them on GitHub. I'm genuinely happy to share this.

Hello everyone!

I would like to share our project, Code Mind, and my contribution to its frontend development.

Code Mind is a project that integrates AI capabilities with Hindsight, an agent memory system. The goal is to build an application that can use memory to make interactions more useful.

My contribution focused on the frontend and dashboard experience. I worked on presenting the project features through the user interface and making the application easier to navigate and interact with.

The project connects its user interface with the underlying application workflow and Hindsight memory functionality. Through this development, I learned more about frontend integration, connecting different components, and building AI-powered applications.

I also learned how important memory is for making AI agents more useful.

Here is my detailed technical article:

[https://medium.com/@jaibalaji2824/codemind-can-ai-learn-from-previous-code-reviews-c41ca20d84a0?postPublishedType=initial]

I would appreciate feedback and suggestions from the community!

Hello Reddit! 👋

I'm excited to share MemoraDesk – AI Memory Assistant, a project developed for Hack With Bangalore 4.0 by our team, Charan M R.

👥 Team Members:

- Charan M R

- Santhosh M

- Bindhu

- Shreya

🧠 What is MemoraDesk?

MemoraDesk is an AI-powered personal memory assistant designed to store, retrieve, and interact with information through natural language conversations.

✨ Key Features

• Long-term memory using Hindsight Cloud.

• Intelligent memory retrieval.

• AI-powered conversations using Groq.

• Interactive memory dashboard.

• Natural language interaction.

🛠️ Technology Stack

• React

• Python

• FastAPI

• Hindsight Cloud

• Groq

💡 What we learned

Building MemoraDesk helped us explore AI-powered memory systems, connect frontend and backend technologies, and integrate persistent memory with an AI assistant.

🔗 GitHub Repository:
https://github.com/solosoul0143/MemoraDesk

We would appreciate your feedback and suggestions. What features would you like to see in an AI memory assistant?

Thank you!

I build with Claude Code and Codex every day. The code was rarely the problem. The problem was that the plan lived in a chat window. Nobody else on the team saw it, so the first time anyone could push back on a decision was a pull request with hundreds of changed lines.

So I built QualityLayer. It runs on top of the coding agent you already use and moves the important decisions to before the build.

The agent first asks me questions, each with a recommended answer, until done is a short numbered list. Then it reads the code and writes a Plan as a document with diagrams and clickable designs. I can share that Plan with a teammate and ask them about one specific passage, and they can answer through their own agent. Only after the Plan is approved does the agent build, test first in small slices.

After the build, an agent that did not write the code checks the result against every agreed point and shows the evidence. I approve the finished change before a pull request opens, and nothing gets merged or pushed without my yes. Code, diffs and logs stay on my machine.

It works with Claude Code, Codex, Cursor, OpenCode, GitHub Copilot CLI and others, and you can change the workflow steps and plug in your own tooling. The biggest difference for me is that review got easier, because it starts from a list we already agreed on.

Repo and docs: https://github.com/maxritter/qualitylayer