r/StartupMind

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’m a pure designer — Figma, typography, user flows, Framer. I had never written a single line of code in my life.

A few months ago I was building my own portfolio site in Framer. It’s quite image-heavy with lots of case studies. I wanted it to rank properly, so I started doing image SEO the “right” way.

It destroyed me.

Spending hours downloading images, prompting ChatGPT one by one for alt text, pasting it back, and cleaning up layer names like “hero-image-final-v2-new.png”… all for just one gallery. I realized I was about to lose yet another full weekend to this boring technical crap.

I searched for solutions. The existing Framer plugins were either too limited or didn’t understand how CMS collections actually work for designers. So I made a dangerous decision:

I decided to build it myself.

The reality check:

• Week 1-2: Complete chaos. I was copy-pasting from ChatGPT into Claude, fighting Framer’s plugin API, and breaking the UI every 10 minutes. The documentation felt like it was written for senior engineers, not designers.
• I almost quit multiple times.
• There were days I fixed one bug only to create three new ones.

But the anger at wasting my creative time kept me going.

What eventually shipped (AltWise - Alt Text & Image Seo Optimizer**):**

• Bulk AI alt text for 100+ images in seconds
• Proper support for Framer CMS + Gallery components
• Automatic smart layer renamer (keyword-focused)
• 40+ languages

It now saves me around 8 hours per 200 images.

12 paid users later, here are the real lessons I want to share:

1. Pain is the best motivator. The uglier the problem, the more willing people are to pay for a fix.
2. Non-coders can build. The tools in 2026 (Cursor, Claude, Framer’s plugin ecosystem) lowered the bar dramatically. You still need persistence though — way more than intelligence.
3. Designers have an unfair advantage. I built this from a real user perspective. Most of the competing tools feel like they were made by developers who never actually design in Framer.
4. First 10 customers are pure validation. It’s not about the money yet. Seeing strangers trust your tool feels better than most client projects.
5. Every paid customer forces you to get better. The plugin broke. Bugs crept in. But when someone's paid you actual money, quitting isn't an option — you fix it, ship it, and keep going.

I’m still very early (one-time payments, small revenue), but this whole journey completely changed how I see my own capabilities.

Question for fellow Designers, Founders & Framer users:

What’s the most painful “technical but not coding” task that’s currently eating your time? (SEO, performance, animations, CMS management, website design etc.)

And if any of you are dealing with the same image SEO headache, feel free to try AltWise and roast it — I’m genuinely open to brutal feedback.

if you’re a founder using Mercury or Brex and still tracking your runway in a spreadsheet this is going to hurt

someone just built a finance OS that puts everything in one place. one business account, one balance. US ACH, EU IBAN, GBP, stablecoins on every major chain. send and receive in 195+ countries. all self-custodial which means you hold your own keys

but the part that got me is the AI CFO. you literally ask it “what’s our runway?” and it answers in real time. cash position, monthly burn, cashflow trends. not from a dashboard you have to dig through. you just ask like you’re texting your cofounder

it also handles treasury automatically. your idle cash earns 4.7% APY. no manual rebalancing. it just sits there working for you

corporate cards with Apple Pay. invoicing. bookkeeping. payroll and bulk payouts to global contractors. Xero, QuickBooks, Stripe integrations. it’s genuinely everything you’d need a finance team for

the wildest part is the AI agents. you can set up vendor bots that auto-pay AWS, Twilio, OpenAI, whatever. with policy controls like “auto-approve anything under $5k.” up to 25 agents on the top plan

pricing: starter is $0 forever. business is $49/month. scale is $99/month. no contracts

for early stage founders who are tired of stitching together 4 different finance tools this is the move

Link here

Tibo (the founder behind tools like Revid.ai, Outrank.so, SuperX, Post Syncer, and Feather) broke down exactly how he repeatedly takes micro‑SaaS products to $100K+ MRR.

Here’s a structured breakdown of how he does it, framed as a repeatable playbook rather than just a success story.

Who is Tibo and what did he build? 

• Founder profile: Indie builder from France who has launched dozens of products over the last few years.
• Current portfolio:
  • Revid.ai – AI video creation SaaS, ~$400K MRR and still growing.
  • Outrank – AI + SEO SaaS, recently crossed $200K MRR.
  • SuperX – Audience growth tool for X (Twitter), >$10K MRR.
  • Post Syncer – Cross‑posting social scheduler, currently early stage but profitable.
  • Feather – Notion → blog publishing tool, acquired for $250K and grown to ~$10K MRR.
• Portfolio outcome: Combined portfolio at ~$700K MRR, growing ~20% month‑over‑month with ~50K paying customers.

How he actually builds winning SaaS products (step‑by‑step) 

1. Build the MVP in days or weeks, not months 

• Take shortcuts: No‑code (e.g., Bubble), boilerplates (Best one in town - AnotherWrapper), skipping non‑critical engineering polish.
• Reasoning: He assumes a ~90% failure rate for new ideas; the only way to win is to run many attempts quickly.
• Goal: Ship a new project fast enough that failure only cost weeks, not years.

2. Talk only to relevant users, not friends or family 

• Find 5–10 “perfect fit” users for the initial version.
• Acquisition channels: X (Twitter), subreddits, email, small DMs.
• Key idea: Feedback from non‑target users is noise; it doesn’t help with product‑market fit.
• Find Validated Painkiller Ideas - Sonar

3. Build real relationships with early users 

• Deep discovery, not shallow surveys: Understand their workflow, daily life, and the real pain behind their request.
• Outcome: This context guides which problems to solve and which features to completely ignore.

4. Talk to users every single day 

• Objective: Understand why they do or don’t come back to the product.
• Tactic:
  • Until a product hits $10K MRR, the support link points directly to his Twitter DMs.
  • He replies quickly, fixes issues in minutes or hours, and turns users into evangelists.
• Effect: Faster iteration, higher retention, and extremely “human” support for early customers.

5. Understand the user’s ultimate goal 

• Think beyond the feature: He focuses on what users ultimately want (e.g., more traffic, revenue, audience), not just the immediate function of the tool.
• Why it matters: When the product directly moves the ultimate metric that matters to the user, perceived value (and willingness to pay) increases 10–100x.

6. Build features that solve their problems, not the founder’s 

• He is a heavy user of his own tools, but still prioritizes real users’ pains over his own preferences.
• Execution style:
  • Fix small UX issues immediately.
  • Ship requested features in 1–2 hours when possible.
• Result: Users feel “heard” and start advocating for the product publicly.

7. Iterate in public and stay close to your users 

• Use social media as a feedback + relationship loop:
  • Share progress, ship logs, and updates.
  • Watch what users ask for in replies and DMs.
• Benefit: Continuous demand‑driven roadmap, instead of guessing in isolation.

8. Don’t scale acquisition until people can’t live without it 

• Focus on retention first:
  • If new users churn instantly, acquisition is a leaky bucket.
  • Complaints are treated as a strong signal of commitment (only invested users bother to complain).
• Checkpoint: Only when users are “stuck” to the product does he start pushing growth hard.

How he approaches distribution and scaling 

9. Go broad on acquisition channels (then measure) 

• Early growth tactics:
  • Product Hunt launches.
  • Building in public on X.
  • General social promotion.
• Goal: Find which channels actually move the needle for that specific product.
• Typical pattern: These free/organic efforts are often enough to reach the first $1–10K MRR.

10. Turn the company into a media engine 

• Content is non‑optional:
  • Social content, SEO content, email, or cold outreach – pick one strength and lean in.
  • Publish case studies, testimonials, and practical content around the problem space.
• Reason: A repeatable content pipeline keeps fueling all other acquisition channels.

11. Double down on scalable channels: SEO, ads, affiliates 

• He focuses on three main scalable levers:
  • SEO (long‑term, compounding).
  • Paid ads (scalable budget if unit economics work).
  • Affiliate programs (partners drive customers in exchange for revenue share).
• Example: Outrank went from $0 → $20K MRR by building in public, then $20K → $200K MRR after adding SEO, ads, and an optimized affiliate program.

12. Ruthlessly scale what works and kill what doesn’t 

• For each product, only 1–2 growth channels truly matter.
• Once those are identified:
  • Scale them hard (more content, more ad spend, more campaigns).
  • Drop or minimize everything else that doesn’t show clear ROI.
• Mindset: Growth is about deep focus on a few effective channels, not doing everything.

Why he runs a portfolio instead of just one SaaS 

• Risk management: Multiple products = resilience against platform and AI shocks.
• Real example: When Elon changed X’s policies, it almost killed Tweet Hunter at ~$200K MRR.
• Today: If one product gets disrupted by a new AI feature or platform change, the rest of the portfolio keeps the company and his family financially safe.

Main takeaway for builders 

Tibo’s core message is simple: the “secret” isn’t a niche hack or a magic tech stack. It’s:

• Building fast and expecting many projects to fail.
• Talking to users daily and letting their real pains drive the roadmap.
• Delaying “growth hacking” until retention and stickiness are obvious.
• Then going very deep on 1–2 acquisition channels that clearly work.

For anyone building SaaS or micro‑SaaS right now, his process is a concrete, repeatable how‑to rather than just a motivational story.

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

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.

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