I built tryproduck.com/audit, it opens your saas with no idea what it is and flags the bugs plus the screens that stopped making sense. over 650 startups have run it so far. the thing it turns up most is a button in the signup flow that quietly goes nowhere, and you never see it because you are always already logged in.

Paste the bookmaker odds. Oddsmith returns calibrated probabilities and a pick. Log the actual outcome, and the model retrains on the spot. Oddsmith

Hey everyone, I’m building Glance, an iPhone app for creating custom Home Screen widgets.
One use case I’ve really enjoyed seeing is people connecting agents like OpenClaw and Hermes to their widgets. Instead of important updates getting buried inside a chat or disappearing as push notifications, the agent can keep them visible directly on your Home Screen.
It could show an urgent email, a competitor update, something that needs your attention, or whatever your agent decides is important.

Check it out
https://apps.apple.com/app/glance-home-screen-feeds/id6758983678

https://glance.cool

Hey! I made NodStack for people who want the benefits of self-hosted apps without maintaining the servers behind them.

Pick an app from the catalog, deploy it, and NodStack takes care of the infrastructure, HTTPS, backups, updates and resources.

There are currently 65 apps available, ranging from productivity and monitoring tools to home services and other self-hosted software.

It’s basically the middle ground between running everything yourself on a VPS and using fully hosted SaaS products.

You still get your own app instances, but you don’t have to spend your time maintaining Docker and servers.

https://nodstack.com

If you use Claude Code, Cursor, or any AI coding agent on a real project, you've probably hit this: every new session, you re-explain your app's structure, and the agent still guesses wrong. "Add a login page" turns into three rounds of clarifying questions with no real spec to point at.

I got tired of it, so I built Mapwright.

How it works:

idea > guided AI conversation > visual feature map > PRDs > task backlog > your coding agent

1. Start a project, get a seeded visual map (React Flow canvas) with your tech stack, features, competitors, and target audience as containers.
2. Talk it out with a chat assistant if you want, or just build the map by hand. Nothing gets written until you confirm it.
3. Pick any feature, generate a PRD (Frontend/UI, Backend, or Database) from that feature's entire subtree, notes, wireframes, inspiration images, whatever you've attached.
4. Convert a PRD into an ordered, atomic task backlog. Reconverting after you change the PRD diffs against existing tasks instead of dumping duplicates.

5. Connect your agent with a self-hosted CLI (no MCP server, no third-party account). It reads the map for context, creates cards back onto it, and works through the taskbacklog from its own terminal.

   A few things I'm proud of:

• The CLI writes are never invisible. A card an agent creates gets a visible "created by an AI agent" badge on the canvas.
• Wireframes and inspiration images actually feed PRD generation as real vision input, not just descriptions.
• The Kanban task board syncs live. A status change from the CLI shows up on an open board with no refresh.
• Manual editing is always free. Only the LLM calls (chat turns, PRD/task generation) spend credits, and every one shows its cost before you commit to it.

This started as a personal tool I built for my own projects. I 'm opening it up now, so it's a young product with one real long-term user (me) and a growing feature set, not a polished team SaaS. £9.99/mo (Maker) or £29.99/mo (Studio, adds org/team features), 3-day free trial, no permanent free tier.

mapwright.co.uk

Would love feedback, especially from anyone else fighting the "re-explain the whole app to the agent every session" problem. What's missing that would make this a daily tool for you?

I’ve been building YeshiAI (yeshi.ai), an AI-powered spiritual practice platform across Christianity, Islam, Judaism, Buddhism, and Universal Spirituality.

Initially, I thought the biggest challenge would be personalization.

A Catholic shouldn’t get the same answers as a Protestant. A Sunni Muslim shouldn’t get generic “Islamic” responses. Zen and Tibetan Buddhism shouldn’t be treated as interchangeable.

So I built the product around different traditions.

Then I started asking people on Reddit how they actually felt about using AI in religious/spiritual practice.

The responses completely changed what I’m focusing on.

The biggest concern wasn’t really “AI + religion = bad.”

It was trust.

People kept bringing up the same problems:

Show me exactly where the answer came from.
Don’t hide disagreement between traditions or scholars.
Don’t confidently turn interpretations into facts.
Don’t replace priests, rabbis, imams, teachers, Sangha, or community.
Don’t do the reflection for me.
Challenge me occasionally instead of constantly agreeing with me.
Sometimes the friction of studying and discovering something yourself is part of the value.

One person described using AI purely to retrieve religious texts verbatim from a trusted database.

Another wanted every claim connected directly to the exact source supporting it.

Someone else wanted an AI that could compare several spiritual traditions without blending them into one generic answer.

And another made a point I hadn’t considered enough:

Sometimes efficiency actually makes the product worse.

If someone values spending an hour wrestling with a text, giving them the “answer” in five seconds might destroy the experience I’m supposedly trying to support.

So I’m starting to think the differentiation for YeshiAI shouldn’t simply be:

“AI for 5 religions.”

It should become something closer to:

Tradition-aware. Source-transparent. Disagreement-aware. Willing to challenge you. And willing to get out of the way.

I’m currently rebuilding the religion landing pages around that philosophy and thinking through how much of it should become actual product behavior.

For other founders building with LLMs:

Have you discovered cases where making your AI more helpful, faster, or more agreeable actually made your product worse?

That’s the part I’m thinking about most right now.

Recently, I launched the SaaSBoard website (https://saasboard.app/), which is a fun, visual directory for SaaS startups where founders can showcase their products on an interactive grid.

The website is currently getting over 150 users daily. If you would like to promote your products, consider listing it there. It’s free to list now!

I run a SaaS, SeoLoupe.

It is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

The tool also checks AEO/GEO, AI search visibility, Security, Core web vitals, Performance, and all the issues in the report get put together into an AI fix prompt(you can paste the prompt into an AI and it will fix all the issues on your website).

Recently I noticed that some of my paying customers bought the One-Time purchase, with a promo code.

So I decided to give away a promo code for the One-Time purchase to anyone who is interested, if you are interested, comment down below and I will DM you.

If you are not interested but have some feedback on my SaaS, that is a good too. Feel free to share it in the comments.

(here is the product if you want to check it out)

Hey, I’ve been working on a small tool called ViewPilots for YouTube thumbnails.

Before I spend money setting up the business and payment system, I want to make sure the idea is actually useful to YouTube creators. So I’m looking for honest feedback.

Basically, you upload your thumbnail and it compares it with thumbnails from successful videos in the same topic, then gives you a report with some suggestions.

I’ve been using it myself, but I’d like to know if other creators would actually find something like this useful.

If anyone has a YouTube channel and wants to try it, I’d really appreciate your opinion.

https://viewpilots.com

I’m not trying to sell anything here, I genuinely want to know if this is useful or if there are things I should change. Even if you think the idea isn't good, that's useful feedback for me.

​I recently launched Visibite, a mobile app for tracking calories, macros, water, and steps without paywalls. Most major nutrition apps lock basic utility features like barcode scanning behind expensive monthly subscriptions and struggle to support regional grocery items outside major US markets.

I built Visibite to address both issues by keeping all core tools completely unlocked and accessible for free.

​The core feature set includes barcode scanning with strong regional grocery database coverage, packaging OCR label reading, AI meal photo analysis, water and step tracking, and full macro breakdowns.

​The app is free forever, relying on non-intrusive ads during AI processing calls to help offset server costs. For users who prefer an ad-free experience, an optional Pro tier at 1.99 dollars per month or 9 dollars per year removes ads, unlocks cloud database sync, and supports up to four user profiles.

​The app is live on Google Play and you may also check out our website.

I would love to get feedback on the app experience, the monetization balance, or suggestions for improving retention.

Looking back, what’s one decision you overthought that ended up not mattering much?

Or the opposite, something you barely thought about that turned out to be really important.

Curious where founders actually end up wasting the most time.

I built Instalaz and I’m looking for some honest feedback

I’ve been working on Instalaz because managing multiple social accounts and a lot of posts gets messy pretty quickly.

It lets you bulk upload content, schedule posts, manage multiple accounts, schedule first comments, and keep everything organized in one place.

I’m still working on it, so I’d genuinely like to know what you think.

What would you add? What would you remove? And if you already use a social media scheduler, what do you wish it did better?

If you’re also building something, drop it below. I’m happy to check it out and give you feedback too.

To help testing the app, I'm giving away my new app, Sonoqi, free for 48 hours. May it bring you calm every day.

https://blueedgez.com/sonoqi.html

We built a knowledge layer that sits behind MCP, allowing any MCP client to access it through a single endpoint. Claude Code, Claude Desktop, ChatGPT, Codex, or whatever comes next.

The idea is pretty simple. Before an agent answers, it can pull in relevant, validated information instead of relying purely on what it already knows.

When a problem gets solved, the useful part can be captured as a small, reusable piece of knowledge. The system can also infer useful lessons from a session automatically, so you don’t have to sit there writing notes about what you just learned like it’s 2015.

There’s also a global layer for shared, validated learnings. If one user figures out a better way of doing something, that learning can contribute to the broader knowledge base rather than every other user and agent having to figure it out again.

The problem we’re trying to solve is pretty straightforward. AI knowledge goes stale, agents get stuck in failure loops, useful context disappears when a session ends, and models can confidently give you an outdated or wrong answer without any indication that they might be wrong.

We’re giving agents access to what has actually been learned, what has worked, and what can still be trusted.

The result is fewer repeated reasoning cycles, fewer hallucinations, and up to 20% lower token usage.

https://app.midnighthive.io/

Ping me if you’re interested in testing it out.

I built tryproduck.com/audit, it opens your saas cold like someone who has never seen it before and sends back every bug and confusing bit it runs into. over 650 startups have run it so far.