r/StartupMind

Hey, so I’m working towards this new startup with 9kt gold jewellery embellished with lab grown polkis and diamonds , and some of the rarest and most creative designs you’ll find no other brands be serving because everyone sticks to a niche of sell what’s already selling. There’s no motivation in the designs I’ve seen of other brands doing this same. But with the kind of designs and jewellery that I am already selling, I’d really like to know if you all would be interested if such a brand ad or product ever showed up on your stories . The above pictures are of the jewellery that I’ve already made in 18 & 22kt , but with the prices rising so quickly, I’m putting in efforts to make the same bridal and statement pieces that otherwise cost 20-45 lakhs in the 2-8 lakhs segment with full buybacks on the gold and diamonds. Would really like some insight from this forum before I start the new brand.

For months, I saw other founders talking about Reddit as this goldmine for early traction, but every time I tried, it felt like walking through a minefield. I'd spend hours scrolling, trying to find relevant threads, carefully crafting replies, only to either get ignored or, worse, instantly flagged for self-promo. It was frustrating, inefficient, and honestly, a bit intimidating. The fear of getting banned from a valuable community was always lurking.

I realized the problem wasn't Reddit itself, but my approach. Most of us just dive in thinking "I need to market my SaaS here," when really, Reddit is about communities, solving problems, and being genuinely helpful. You can't just pitch; you have to earn the right to even hint at a solution.

So, I shifted my mindset. Instead of pushing my product, I focused on:

• Deep Listening: Really understanding the pain points people voiced, not just keywords.
• Community Rules: Treating each subreddit like a unique country with its own laws.
• Authentic Engagement: Participating in discussions where I could genuinely add value, even if it wasn't directly related to my SaaS.

This started to work. I built karma, made connections, and found a few legitimate opportunities to share my insights. But here's the kicker: it was still incredibly manual and time-consuming. Identifying threads with real buying intent among thousands, then drafting a reply that was both helpful and compliant with obscure subreddit rules? That was the biggest bottleneck.

That's why I started using a tool called Karmo. It basically turns Reddit from a time sink into a predictable lead-gen channel. What I love about it is how it watches my chosen subreddits, scores posts by buying intent, and surfaces only the high-value threads. Then, for each, it generates an on-brand reply in the subreddit’s native tone, while checking rules so I don’t get banned. It compresses discovery, drafting, and compliance into one pass, making Reddit actually usable as a growth channel. It even helps generate ban-proof posts for different goals, whether it’s sharing ideas, optimizing for SEO, or making a gentle pitch.

It’s been a game-changer for consistently finding and engaging with potential users without the constant fear of the ban hammer. If you're struggling to make Reddit work for your SaaS, I highly recommend adopting a community-first approach, and tools like Karmo can seriously streamline the most challenging parts.

What strategies have you found most effective for engaging with Reddit communities without crossing the line?

I built OpenLLM-Studio — a free, open-source desktop app that makes running local LLMs extremely simple.

OpenLLM-Studio is a simple desktop app that does the thinking for you. You just open it, it scans your hardware (GPU, VRAM, RAM, CPU), uses AI to recommend the best model + perfect quantization, downloads it from Hugging Face, and you’re chatting with it in minutes.

No Ollama needed. No terminal commands. No guessing.It’s completely free and open source.

If you’ve ever felt overwhelmed trying to run local LLMs, I’d love to know what you think.

Here is the tutorial on how to download Local LLMs using AI in OpenLLM Studio: https://www.reddit.com/r/StartupMind/comments/1spfebg/i_built_a_tool_that_finally_makes_running_local/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

you.GitHub: https://github.com/Icecubesaad/OpenLLM-Studio
Download: https://openllm-studio.vercel.app

Most websites don’t fail because of design

they fail because users don’t understand what to do

I’m a UI/UX designer and I help fix:

• low conversions

• confusing layouts

• weak messaging

I don’t just “review design”

I show you exactly what’s stopping people from converting and how to fix it

Portfolio:

behance.net/malikannus

If your site isn’t bringing results, DM me 👍

The 10 fastest growing GitHub repos this week:

1. CloakBrowser (+9.1K stars)

Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.

https://github.com/CloakHQ/CloakBrowser

2. AiToEarn (+4.8K stars)

Let's use AI to Earn!

https://github.com/yikart/AiToEarn

3. agentmemory (+6.9K stars)

#1 Persistent memory for AI coding agents based on real-world benchmarks

https://github.com/rohitg00/agentmemory

4. UI-TARS-desktop (+3.5K stars)

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

https://github.com/bytedance/UI-TARS-desktop

5. 9router (+5.4K stars)

Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.

https://github.com/decolua/9router

6. DeepSeek-TUI (+8.7K stars)

Coding agent for DeepSeek models that runs in your terminal

https://github.com/Hmbown/DeepSeek-TUI

7. AI-Trader (+3.0K stars)

"AI-Trader: 100% Fully-Automated Agent-Native Trading"

https://github.com/HKUDS/AI-Trader

8. skills (+18.3K stars)

Skills for Real Engineers. Straight from my .claude directory.

https://github.com/mattpocock/skills

9. supersplat (+2.6K stars)

3D Gaussian Splat Editor

https://github.com/playcanvas/supersplat

10. hysteria (+952 stars)

Hysteria is a powerful, lightning fast and censorship resistant proxy.

https://github.com/apernet/hysteria

The theme this week: free AI routing hacks and persistent agent memory are the real obsession right now. Bookmark this

I built TypeHue, a Windows desktop app (Soon for Mac) for managing fonts and color palettes in one place. It is free to download with a 7-day free trial. Waiting to get approved in the Microsoft store as well. You can download it from here https://typehue.vercel.app . I will also add Microsoft store link once I get approved, hopefully in the comments. You may get to see Windows smartscreen warning but it's completely safe to download from our official website. Also here is a quick demo video of the app in action https://youtu.be/wRzHM2RroCg

I’d love honest feedback on the workflow and UI/UX and future improvements.

People are canceling their Runway and Higgsfield subscriptions after finding this 🤯

An open-source AI studio on GitHub is giving you access to 200+ image/video models for free.

No ads. No paywall. No insane setup.

→ Seedance Pro, Kling, Sora, Veo, Flux, Midjourney-style models

→ Real cinematic camera controls (lens, focal length, aperture, shots)

→ Prompt to production in seconds

→ Works with Claude Code + Codex through a skills library

10.7K+ GitHub stars already. Open-source AI tools are moving faster than startups can monetize them.

Repo👇

I’m working on a product for founders who want to make better decisions before spending time, money, or traffic on the wrong thing.

The problem I’m trying to solve:

A lot of startup decisions are expensive to validate.

Changing pricing can hurt conversion.
Changing copy can confuse users.
Changing onboarding can reduce activation.
Launching a feature can waste weeks.
Running interviews or A/B tests takes time and often requires traffic you may not have yet.

So I’m building Polyhyle: a simulation platform where you can model a product/business scenario and see how different synthetic user segments might react.

Examples:

• simulate a pricing change
• test positioning and landing page copy
• predict objections before launching
• compare feature concepts
• simulate user reactions to a competitor move
• estimate impact on conversion, churn, adoption, or trust

To be clear: I don’t think simulated users replace real customers.

But I do think they can help founders narrow down bad ideas faster, generate better hypotheses, and decide what is actually worth testing.

I’d love feedback from other founders:

What’s one startup decision you wish you could simulate before making it?

I built a social media blocker app where every focus session earns you sticks to build a beaver dam.

What the app does:

-Blocks distracting apps during focus sessions

-Daily planner + calendar for task management

-Pomodoro-style focus timer

-Weekly focus chart to track consistency

-Home screen widgets, smart reminders, dam badges

No ads. No subscriptions. Free to use.

Would love feedback from anyone who struggles with procrastination or needs a distraction blocker.

Play Store: https://play.google.com/store/apps/details?id=com.aktarstudio.taskpia

Here are some features I shipped for BiteTube this week:

• Added a dedicated “Why it’s worth watching” section so you don't have to watch videos just to end up closing them
• Built “Continue the Vibe” dynamic discovery which helps user stay on the same vibe of content
• Polished up the UI to improve user experience
• Integrated Sanity as the CMS to make managing content easier and efficient

Share what kind of features you shipped in the comments to let other users know about your project!

AI agents do not fail all at once. They break step by step, and that is the part most teams still miss, or maybe don't have any idea of it. Agreed?

In some cases, a retrieval result drifts, a tool call returns something unexpected, or an early state change quietly affects the rest of the run. By the time the final answer looks wrong, the useful context is already gone.

That gap is what we kept running into while building Future AGI.

The open-source platform for shipping self-improving AI agents. Evaluations, tracing, simulations, guardrails, gateway, optimization. Everything runs on one platform and one feedback loop, from first prototype to live deployment.

We built it for teams working on agents, copilots, and RAG-heavy workflows that need more than a final response log. If you are trying to understand how an agent behaved, where it went off track, and what should become part of the next eval cycle, this is the kind of system we wanted to have ourselves.

What we can do with it:

• Trace model calls, tool calls, and state changes across an agent run.
• Inspect failures at the step level instead of only seeing the final output.
• Run evaluations tied to real tasks and behavior.
• Simulate scenarios before production users find the edge cases.
• Feed failures back into the eval loop so the system improves over time.

What we have learned so far is that teams do not just need another dashboard. They need a way to connect production failures to a trace, understand the exact point of failure, and use that signal to tighten the next version.

That is the problem we are focused on.

If you are working on agents, what is still the hardest part for you today, understanding where a run failed, building evals that stay useful, simulating real edge cases, or feeding production failures back into the loop? Or any similar problem..

Try it in your stack and tell us where it breaks, what feels off, and what you would want us to improve.

I have a problem with **social media**. Uninstalling never worked, I'd always come back. So I built Retakr: an app + URL blocker that **locks social media** during work hours and sets daily time limits. It also has a strict mode that makes it **impossible to bypass**, that part really made the difference for me.

What bothered me about existing solutions: most are subscription-based (stressful), and the free ones are too easy to bypass. Retakr is a one-time purchase, works offline, **no account, no data collection.**

It's working for me. Hope it helps someone else too.

Would love honest feedback, features, UX, anything.

**Play Store**: https://play.google.com/store/apps/details?id=com.jozaforge.retakr

ManageJobApplications.com is a totally free forever tool to help job seekers. You don't even need to provide an email address. Got a lot of hate from folks with pay-to-play alternatives, but I'm at 13K Redditor users and going strong. It has AI tools for customizing cover letters, resumes, and mock interviews for each job description, plus LinkedIn profile copy and possible job titles to search against. Complete tracking for all your job applications, people you've met, follow-up dates and deadlines. Imports jobs from all the major boards with one click.

Technology is getting smarter every day.

But what people really want hasn’t changed:

to feel understood.

That’s one of the main reasons I started building AURA.

Not as just another AI product,

but as a system that understands the person behind the data.

Try it at: https://github.com/RareSense/Nova3D Takes both text and image input. You'll need your own Gemini, Anthropic or Open AI key.

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The problem it solves:
AI generators produce solid, monolithic 3D object that are great to look at but not practically super useful. Want to change the arm of a robot you generated? Re-generate the whole thing, lol.

About this tech:
It generates a Blender construction script, runs it server-side, does spatial validation, then exports a structured GLB (with the scene graph intact). Basically the output isn't only geometry. It's the procedure that built it, plus the asset itself.

In practice, this produces named parts, hierarchy preserved, material slots ready to go. And since there's a procedural script sitting in the middle, you can actually go in and edit the "kit of parts" afterwards instead of starting over.

Some generated examples:
- Internal assembly generation: https://imgur.com/a/JxDZ7Wd
- Boston Dynamics-style robot dog: https://imgur.com/a/CqMYgrF
- Microwave (random, but shows part separation well): https://imgur.com/a/hIqIJdr

Would genuinely love feedback!

I ran into this problem a lot ,trying to talk to friends in loud places and just ending up shouting.

So I hacked together a simple app where two phones can connect directly and talk in real time. It uses Bluetooth or WiFi, but not internet. No router or anything like that, just the phones.

We tried it in a busy café the other day. At first we were basically yelling, then we switched to the app, put on our headphones (I was using AirPods), and it actually made a big difference. We could just talk normally.

Still early, just experimenting with it. But it got me thinking it might be useful in places where there’s no internet too.

Would be curious what people think.