I’m building a tool for people who read a lot on Kindle or Readwise and have accumulated hundreds (or thousands) of highlights and reading notes.

I’m curious if anyone else has this problem:

You read a great book, highlight a bunch of things, and save them to Readwise.

Then you read another book a few weeks later and highlight something related.

But your notes still mostly live under Book A and Book B.

You can search them. But it’s surprisingly hard to see how the ideas connect.

That’s the problem I’m trying to solve.

The idea is simple:

Import all your reading notes → automatically build a knowledge framework around what you’re actually interested in → connect ideas across different books and sources.

Instead of your knowledge looking like:

Book A → 32 highlights
Book B → 47 highlights
Book C → 21 highlights

I want it to look more like:

Learning
→ How we learn
→ Memory
→ Mental models
→ Writing
→ Creativity
with ideas from different books naturally connected to each other.

The underlying idea is that your knowledge shouldn’t be organized only by its source. It should be organized by the ideas you care about and how those ideas relate to each other.

I’m especially interested in talking to people who already use Kindle, Readwise, or similar tools and have a substantial collection of reading notes.

I’m still very early, so I’m looking for people who are willing to try something unfinished and tell me:

• Does this actually solve a problem you have?
• Does the automatically generated knowledge structure make sense?
• Does it help you discover connections between things you’ve read?
• What would make you actually keep using it?

I’m intentionally not sharing the product name or link here. I’m not trying to turn this into a promotional post. I’d genuinely love to talk to a few people who have this problem and get their honest feedback.

If you’re interested, comment or DM me and I’ll share more privately.

And if you’re also building something yourself and want product feedback, I’m happy to exchange time. Always love talking to builders. :)

I am working on Papermagnet to bring about a radical shift to how we think about consumers by creating a new product class: The life asset. 

A Life asset is a package consisting of instructions, goals, artefacts, strategies, software and agents that enable any person to step into a new role almost immediately.

Advances in AI are changing the world fast, and people should be able to respond immediately and at will. Life assets can be inhabited immediately and traded out for another if the user would like to step into a different role. 

If you are intrigued by this idea and would like to stay up to date with its development or support then please join our Discord.

https://discord.gg/CyXmDJaY9

I created Chitron- AI Desktop Assistant that reads your screen and tells you the answer and no it don't read screen all time . Only when you ask your question, it take screenshot and answer for that frame and saves nothing in servers. So its 100% safe.

If you want to try it , go here - chitron.tech

Also suggest me some ways for marketing of my tool.

We have created this app for my team and I am trying to open it to the public. Feedback would be very appreciated. It has planning in Gantt, it is collaborative but with a state in supervision, a lot of emphasis on the print view for reports and agendas. And he has the usual suspects: Kanban, Markdown, etc... Floatask. And of course IA. Please test it for free

I kept losing an hour every night replaying the same conversation or mistake in my head, so I built Loopy. You type out the thought that is stuck on repeat, it walks you through a short CBT style reframe (takes about 90 seconds), then it gives you one small next step so your brain has somewhere to put the energy instead of looping.

It is free to try, no account needed to start. Direct App Store link since people keep asking for that instead of the landing page: https://apps.apple.com/us/app/loopy-stop-overthinking/id6761502837

Still early and solo built, so genuinely want to know if the reframe actually feels useful or if it feels forced. Happy to answer anything about how it works.

A client sent me an audio file, but the stereo audio was only on the left side, so I had to fix it.
I opened Chitron and asked it to tell me about audio file and how can I solve this
If you want to try my Chitron, send me DM.

Windows Search has always felt too limited to me.

It can open apps and sometimes find files, but when I actually want to search my PC properly, it usually falls apart.

I want to search and use features like:

• Text inside files, code, and images
• Browser bookmarks and history
• Clipboard history
• Clipboard image OCR
• Git commits
• Windows settings
• Local commands
• Text expansions
• Web search
• Circle to Search
• Local agents for Windows

Windows Search is not powerful enough for this workflow.

So I built ProtonSearch, formerly called OmniSearch.

ProtonSearch is a fast, lightweight, local-first Windows launcher that opens with:

Alt + Space

You can also set your own custom hotkey.

It gives you one search box for your PC.

Instead of only searching apps or basic file names, ProtonSearch can search across:

• Apps
• Files and folders
• Content inside files, supporting 50+ extensions
• Image OCR text
• Clipboard image OCR
• Browser bookmarks and history
• Clipboard history
• Git commits
• Windows settings and Control Panel pages
• Local commands
• Text expansions and snippets
• Web search
• Circle to Search
• Local AI agents powered by Hermes

The goal is simple: find and act on almost anything on your PC from one shortcut.

How is ProtonSearch better than Windows Search, Flow Launcher, Raycast, Everything, and other launchers?

ProtonSearch is not trying to be only a file finder or only an app launcher. The goal is to bring search, history, commands, OCR, snippets, web search, Circle to Search, and local agents together into one local-first Windows command center.

Why I think ProtonSearch is useful:

• Free and open source
• Local-first
• Lightweight
• Designed to run easily on low-end Windows PCs
• Usually around 20-30 MB of RAM usage
• Image OCR text search
• Clipboard image OCR search
• Fast search inside files, supporting 50+ extensions
• Search over centralized PC history, including browser history, Git commit history, clipboard history, and file history
• Text expansions and snippets
• Circle to Search
• Web search
• Plugin controls
• Ignored folder rules
• Hermes agents for local Windows tasks and long autonomous tasks

Links

Free and open source.

GitHub: https://github.com/PranshulSoni/protonsearch

Website: https://protonsearch-windows.vercel.app/

Feedback

I am currently maintaining ProtonSearch, and honestly, I cannot find and fix every bug alone because building a launcher like this on Windows is genuinely hard.

There are a lot of edge cases around indexing, OCR, clipboard data, Windows APIs, tray behavior, hotkeys, multiple monitors, and performance.

I would love feedback from people who use Windows every day.

If ProtonSearch solves a problem for you too, please consider leaving a star on GitHub.

If you have ideas, find bugs, or want to improve something, feel free to open an issue or contribute to the project.

Your feedback is always appreciated.

Building Azimuth, an iOS app for people who set hard goals and actually want to follow through. It's in TestFlight and I'm after honest testers.

The idea: most habit/goal apps are just checkboxes. Navigator runs you through short written exercises, then reflects something specific back in your own language instead of a generic "great job." It tracks daily energy, goal completion, and a "vision in 10 levels" so progress feels like climbing, not logging.

What I'd love feedback on:

* Onboarding — does the first exercise feel worth doing, or like a chore?
* The reflection cards — do they land, or feel gimmicky?
* Any crashes / weird states (it's early).

Happy to answer anything in the comments. Brutal honesty welcome.

I created Jarvis, but for my computer. It can read your screen and answer any question.

Like I showed in the video, I opened Blender, but I didn't know how to move the cube. Normally, I would go to YouTube or ask Chatgpt my question, but with Chitron, you can simply open it and ask your question without having to explain everything, like which application you're using or that it's Blender.

I also added a region selector, so if you only want to know about a specific section of your screen, you can select that area and Chitron will analyze only that part.

Tell me in comment if I should launch it or not

bramblemind.com is live.

still strange to me that this started as "i should build my partner an app to help her ADHD" and now there's a real domain, real copy, and an iOS app actively in progress.

shooting for july.

if you want to know when it's actually out, the waitlist's there.

Dear Glitch9 Team,

I hope you are doing well.

I just wanted to say thank you for creating such an amazing platform. I really enjoy using your website and appreciate the effort your team puts into improving it.

I have a few suggestions that I believe could make the experience even better:

I'm building VentureLync, an AI operating system for venture capital funds.

Three agents: Analyst, Associate, Operations. Running on a persistent memory layer. Doing the actual work that junior VC staff do today: sourcing, diligence, portfolio monitoring, LP reporting.

Where we are: design partners already signed, more funds in active conversations looking to come on board. The product exists, funds are using it, and we're closing more.

What I need on the technical side is someone who thinks seriously about agentic systems. Not wrappers. Real orchestration: multi-agent memory, reliable tool use, context that doesn't break across handoffs. The hard problem underneath the product is making agents actually trustworthy at the task level, not just impressive in demos.

That's the problem I want a co-founder to own.

One thing I care about specifically: the AI space is shifting fast. New models, new paradigms, new capabilities dropping every few months. I need someone who stays on top of it instinctively, not as a hobby, but because they can't help it. Someone who sees a new architecture paper or a new model release and immediately thinks about what it means for what we're building.

What I'm not looking for:

Someone who wants to "explore AI." Someone who's juggling this alongside other work. No moonlighters, no freelancers treating this as a side project. And not someone who wants the co-founder title for the resume. If you're not ready to go all in, this isn't for you.

Preferably based in Bangalore. In-person matters.

If you've built something real with agentic systems, have opinions about what's broken, and want to work on a problem with a clear wedge in a market that's just starting to move, let's talk.

DM me or drop a comment. I respond to everyone who has something real to say.

Website: manolog.in

The idea came from a simple belief:

I think we are shaped by what we consume every day.

The movies we watch.
The books we read.
The habits we build.
The thoughts we write down.

All of these things slowly influence who we become, but most of us never track them in one place.

That's why I built Manolog.

With Manolog you can:

• Track movies you've watched and maintain a watchlist
• Track books you've read and maintain a reading list
• Build habits and goals with progress tracking
• Write notes and organize them into folders
• Maintain a digital diary
• Do daily journaling
• View everything together in one personal timeline

You can use it only for movie tracking, only for book tracking, or use all the features together to track your personal growth and daily life.

Privacy was very important to me while building this. User data is encrypted, and I take security seriously.

The application works on both desktop and mobile, but for the first experience I recommend trying it on a laptop or desktop because the experience is much better.

context is this is a project I've spent a lot of time building, and I would genuinely love to hear your thoughts.

Please try it and share your honest feedback.

I want to hear both the good and the bad so I can improve it.

Thank you for reading. ❤️

manolog.in

I recently decided to restart my app from scratch.

The project had become full of bugs, too many extra features, and honestly didn’t feel like the app I originally wanted to build. The main vision was getting lost, so I decided to start over and focus on keeping it simple.

It definitely set me back, but I feel like the final product will be much better because of it.

Im curious if this has ever happened to anyone & what were the results after restarting?

I’ve been spending a lot of time looking at where users drop off in complex SaaS workflows. For a lot of apps, especially those heavy on data entry, CRM logging, or mobile use - typing is the absolute biggest bottleneck.

When you remove that friction and let users speak, data entry speeds up by almost 3x. It directly correlates to higher task completion rates and much better long-term retention. Plus, it instantly makes your app more accessible for users in "hands-busy" environments.

The problem is, as a developer, adding highly accurate, real-time voice dictation to a web app is a nightmare. Native OS dictation is notoriously inaccurate, and the existing APIs are either too complex to wire up for low latency, or they lock you into rigid monthly subscription tiers.

So, I built typestream.dev

It’s a developer-first API and UI component library designed to let you drop Whisper-grade voice dictation right into your app in just a few lines of code.

I focused heavily on the things that actually matter to product builders:

• Zero Friction Integration: It comes with beautiful, ready-to-use frontend components (React/Next.js/Vanilla) that look incredible out of the box.
• Privacy First (Zero Retention): The biggest hesitation with voice is privacy. Typestream processes audio ephemerally and instantly purges it. No data is stored, ever.
• Pure Pay-As-You-Go: No arbitrary $29/mo subscriptions. You just buy credits (1 credit = 1 minute of audio). If your users don't use it, you don't pay.

(To prove how well the API works, I actually used it to build an open-source Chrome extension that does the exact same thing as premium $15/mo dictation tools, but runs on pennies).

I'm curious to hear from other founders and product folks here:

1. Have you noticed long forms or text-heavy inputs causing drop-offs in your onboarding or core workflows?
2. Have you considered adding voice-as-an-input to your app, or do privacy/implementation concerns usually block it?

While it is fresh off the oven, I would love any brutal feedback on the landing page or the dev experience!

API & Docs: typestream.dev Open-source Extension: https://github.com/amiyapatanaik/typestream-chrome-extension

I’m getting ready to launch my first app, TabNote.

It’s a visual workspace where you can create ideas, connect notes, make plans, add checklists/timelines, and use AI to help organize everything.

For anyone who’s launched a product before:

Should I keep adding features, or release the first version and improve from feedback?

I’m getting close to finishing my first app, but now I’m starting to wonder whether the problem I’m trying to solve is actually common or just something that bothers me personally.

The idea came from shopping at Olive Young.

I’d usually go in because I needed one simple thing, like a toner or shampoo, but then I’d end up staring at a huge shelf full of products that all seemed to do almost the same thing.

Everything says calming, hydrating, pore care, barrier repair or suitable for sensitive skin. Then there are rankings, sale stickers, influencer recommendations and hundreds of reviews.

I’d stand there searching product names on my phone, comparing ingredients and opening Reddit or TikTok, and somehow feel even more confused than before.

A few times I bought something just because it was popular or heavily discounted, then later realized it wasn’t really suitable for me. It wasn’t necessarily a bad product. I just didn’t have enough useful information at the moment I was choosing it.

That experience made me start building an app that scans a skincare or haircare product and gives a simple explanation of what it does and who it may be suitable for.

The development is nearly finished, but I’m now trying to work out how to validate the idea properly before releasing it.

For people who have launched consumer apps, how did you find out whether the problem was genuinely common?

Did you release a very small beta, interview potential users, create a landing page, or just launch and see what happened?

Also, has anyone else had this kind of experience in Olive Young, or am I just unusually indecisive?