r/StartupSoloFounder

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For most of my life I tried to be someone else. I'd find someone I admired, decide they were better than me, and copy them. That mindset pushed me into a business I never enjoyed and only started because I looked up to one specific guy. It failed. I felt completely lost.

Around that time I was obsessively tracking my sleep with a Whoop, trying to optimize it. I kept getting good recovery scores. And I was still exhausted, yawning through entire afternoons, dead by 2pm. That's when it clicked: the score doesn't do anything. It just confirms you slept well or badly. Cool. Now what? Knowing isn't fixing.

So I built the thing I actually wanted. It takes the data your wearable already collects sleep, recovery, heart rate, and turns it into a daily protocol instead of another number. It tells you what supplements to take based on your metrics, predicts your most productive hours and gives you the exact time window when you should do deep focus tasks and light focus tasks, it tells you how much caffeine you have in your system left based on your first coffee taken and notifies you when you should take the next caffeinated drink for maximum productivity, it even tells you when to nap so your energy lasts the whole day instead of crashing and much more...

It's on the App Store as RizeAI https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079. i built by myself, it's early stage right now, and I want honest feedback, what's confusing, what's missing, what you'd never use. Tear it apart.

Hey Reddit! 👋

If you want to keep your grocery shopping organized and your budget under control without using two different apps, I’ve built something for you.

ShopFlow is a clean, easy-to-use shopping list app that automatically tracks your expenses as you check off items at the store.

Here is what makes it convenient:

📝 Smart Shopping Lists: Create lists effortlessly. See your expected total before you even get to the checkout.
👨‍👩‍👧 Family Sharing & Cloud Sync: Share your lists with family members. Everything syncs perfectly across devices so you never buy duplicates.
💰 Set Limits & Save Money: Set a monthly budget. The app will warn you if your current cart is pushing you over your limit.
📊 Visualized Statistics: Track where your money actually goes. See beautiful charts breaking down your spending by category (Groceries, Household, etc.).
🔍 Purchase History: A complete, searchable history of everything you’ve bought and how much it cost.
🔒 Private & Customizable: Clean UI, customizable settings, and your data stays secure.

I’d love for you to try it out and hear your feedback!

📱 Download on Google Play: https://play.google.com/store/apps/details?id=app.shopflow.com

Let me know what you think or if there are any features you'd love to see added. Cheers!

I developed Weather World because I wanted a simpler, more helpful way to stay ahead of the forecast. I truly believe that a weather app should be a tool that makes your life easier, not a source of distraction with ads and confusing menus.

How it helps you: The core of the app is all about visual clarity. I’ve focused on creating intuitive graphs that let you see temperature shifts and precipitation trends at a single glance. Instead of reading through long lists of numbers, you can visualize exactly how your day will unfold. It’s minimalist, lightweight, and built for speed—perfect for anyone who values a clean Android experience.

I’d love your support! Please give it a try and see if it helps your daily routine. If you find it useful, please recommend it to your friends! As a solo developer, your support and word-of-mouth are what help me improve and grow.

In compliance with the community rules, I’ve shared the link via IndieAppCircle. Check it out there and let me know what you think!

Find it here: https://play.google.com/store/apps/details?id=com.danie.pocasisveta

I've been consistently getting 60% of my traffic from no source, every analytics dashboard says Direct. and I've tried them all. I simply can't imagine people typing in website URL directly since it's a two-month old SAAS.

So can anyone help me with this?

Still a bit stunned typing this. Three months ago I was refreshing Stripe hoping for one sale. Now there's a small but growing group of people paying every month to keep their apps from leaking.

CheckVibe is a security scanner for vibecoded apps shipped fast with AI tools. You paste a URL or hook up a GitHub repo and it surfaces what's leaking: secrets in the frontend, open database rules, missing headers. Two of us, fully bootstrapped, no funding. Three months in and we've done about $7k in gross volume, 200+ all time paying customers, 5k signups. Public Stripe link in case anyone's seen too many fake numbers: https://profile.stripe.com/checkvibedev/ZumatA0Y

A few things that actually worked:

TikTok slideshows have carried us. Aesthetic Pinterest-style backgrounds with tool names overlaid, five slides, no branding on the account. One hit a million views and is still quietly sending signups weeks later. 15 minutes to make. As a 2-person team that can't afford to spend hours on content every day, this format is unreasonably good.

Cold outreach worked, but only the version where I scanned the prospect's app first and DMed them what I found. Generic pitches got ignored. Useful findings got replies almost every time.

Paywall design was a 3x lever. The first version blurred all results, which felt clever and barely converted. Switched to one that just shows the count of critical issues with the actual findings locked. Conversion tripled. Curiosity beats obfuscation.

What nearly killed me was mobile activation tanking compared to desktop and not catching it for weeks. Onboarding had too many steps on small screens. Cut two and the gap basically closed overnight.

If you've shipped something with AI tools and haven't really checked what's exposed, checkvibe.dev runs in 30 seconds. Scan for free, only pay if you have issues. Almost every app I've scanned came back with something.

Hey everyone,

Over the past few months, I've been working on a community called Huddle. The goal is pretty simple: bring together people who are actually trying to build something.

Whether it's coding, content creation, freelancing, startups, design, or just learning a new skill, I wanted to create a place where people can find others with similar interests, collaborate, share what they're working on, and learn from each other.

The website is: https://www.huddlehq.in/

I'm still improving it, so I'd genuinely love some honest feedback.

- Does the idea make sense?

- Would you join something like this?

- What's missing that would make it valuable to you?

- Any suggestions for the website or community?

I'm not looking to sell anything—just trying to build something useful, and I'd really appreciate your thoughts. Thanks!

A few months ago, I didn't know how to program. Now I have a SaaS platform in production. I didn't learn to code. I learned how to ask.

Every feature on bespokeprompting.com was built using structured prompts—the same prompts that the platform generates for you.

The difference between a vague prompt and a structured one is the difference between "make me an app" and getting exactly what you imagined.

That’s what Bespoke Prompting does. You take an idea, run it through 5 stages, and out comes an elite prompt.

I tested it on myself first.

→ bespokeprompting.com (free to try)

#AI #PromptEngineering #SaaS #NoCode #Productivity

Hey everyone 👋

I'm the solo developer behind Mac+ (macplus.pro). Up front: this is my own app, and I'd really like your honest feedback.

The itch I was scratching: I was tired of staring at the same frozen wallpaper all day. The macOS desktop feels kind of… static. So I built the thing I actually wanted a native, lightweight app that makes the desktop feel alive withoutturning my Mac into a space heater.

What it does:

• 15 animated scenes rendered on the GPU with Metal (aurora, plasma, waves, rain, snow, fog…) 
• 44 color palettes + a custom palette creator recolor any scene live 
• Use your own video or image as a living background 
• 52 folder-icon patterns stamped onto the real macOS folder shape or import your own image, and apply it to many folders at once 
• 12 desktop widgets (clock, date, focus timer, season, year progress…) you can drag anywhere 
• Little companions that wander across your screen 
• Multi-display, and it now speaks 4 languages (EN / FR / DE / ES)

Why it won't wreck your Mac:

• 100% GPU rendering (no CPU video decoding), 30 FPS by default, capped resolution 
• Auto-pauses when the screen sleeps or when a fullscreen app covers the desktop 
• Driven entirely from a tiny menu-bar item

Honest about pricing: there's a free tier (a handful of scenes, palettes, icons and widgets) so you can try it for real before paying. Pro unlocks everything 7-day free trial, then €1.99/month, or €9.99 once (lifetime, no subscription).

Here is a promo code : « LAUNCH30 » :)

With the warmer weather I’ve realised there’s a lot of conflicting advice online.
Some people say anything over 20°C is dangerous.
Others happily walk at 28°C.
Then you’ve got pavement temperature, humidity, UV, breed differences, age, weight and fitness all affecting the risk.
What surprised me most while researching this was that veterinary studies suggest around 70% of canine heatstroke cases happen during exercise, not from being left in cars. Even more worrying, around 1 in 7 dogs with heatstroke don’t survive despite treatment.
The more I looked into it, the more I realised there isn’t really a single “safe temperature” for every dog.
A French Bulldog, Husky, Labrador puppy and Border Collie can all have completely different levels of risk on exactly the same day.
That got me thinking…
Wouldn’t it make more sense to look at the whole picture rather than just the weather forecast?
If you decide it’s too warm, what do you do instead?
So far I’ve had good success with:
Snuffle mats
Frozen Kongs
Scent games
Hide-and-seek treats
Short training sessions
Puzzle feeders
I ended up building a small iPhone app called DogSafe because I wanted something that considered more than just the air temperature. It combines weather conditions with your dog’s breed and profile to help judge whether it’s a good time for a walk, suggests safer walking windows, highlights hazards like hot pavement, UV and seasonal risks, and also gives indoor enrichment ideas when staying home is the better option.
I’m genuinely interested in how everyone else makes this decision though. Is it based on temperature, experience, your dog’s behaviour, or something else?
If anyone wants to take a look at DogSafe and give me honest feedback, I’d really appreciate it:
https://apps.apple.com/us/app/dogsafe/id6783847517
(It’s intended as a decision-support tool for owners, not a replacement for veterinary advice.)

Builders-welcome post with the substance up front (disclosure: I'm the maintainer). OmniRoute is a free, MIT, self-hosted AI gateway — one OpenAI-compatible endpoint over 237 providers — built around two problems: runs dying on a provider 429, and tokens bleeding on tool/log output.

One endpoint, 237 providers — 90+ of them free. You point any tool or agent at a single OpenAI-compatible endpoint (localhost:20128/v1) and it can reach 237 LLM providers without you rewriting anything. 90+ have free tiers and 11 are free forever (no card), which aggregates to ~1.6B documented free tokens/month — and that's honest, pool-deduped math (we count each shared pool once instead of inflating it; the methodology is public in the repo). There's a one-command setup-* for 13+ coding tools (Claude Code, Codex, Cursor, Cline, Roo, Kilo, Gemini CLI…), so switching your existing setup over takes seconds.

Fallback combos — so it never stops mid-task. A "combo" is a ladder of models the router walks automatically: your subscription first, then API keys, then cheap models, then free ones. When a provider returns a 500 or you hit a rate limit, it slides to the next target in milliseconds, mid-request, and your tool never even sees the error. There are 17 routing strategies (priority, weighted, round-robin, cost-optimized, auto/coding:fast…) plus three resilience layers — a per-provider circuit breaker, a per-key cooldown, and a per-model lockout — so one dead key can't take down a whole provider.

Fusion — an ensemble mode for the hard steps. Beyond simple routing, there's a fusion strategy that fans a single prompt out to a panel of different models in parallel and then has a judge model synthesize one best answer (mixture-of-agents, built in). It's cost-aware, so easy turns stay on one fast model and it only fuses when the step is worth it.

A 10-engine compression pipeline — the part most routers don't have. Every request flows through a transparent compression pass you can toggle/stack per combo. Instead of one trick, it stacks the best of the open-source ecosystem: RTK filters command/tool output (git diffs, test logs, builds) at 60–90%, Microsoft's LLMLingua-2 does ML semantic pruning, Caveman handles prose, session-dedup strips repeats across turns. Critically, code, URLs and JSON are preserved byte-perfect, and a default-on inflation guard throws the compressed version away and sends the original if compressing would actually grow the prompt — it never makes things worse. On tool-heavy sessions that's ~89% average input-token reduction (an 8k-token git diff becomes a few hundred). Full credit to every upstream project (RTK, Caveman, LLMLingua-2, Troglodita) is in the README.

Agent-native — the agent can drive the router itself. There's a built-in MCP server (95 tools across 30 audited scopes, over stdio / SSE / streamable-HTTP), plus A2A (v0.3, JSON-RPC 2.0) support. That means an agent can query providers, switch combos, read its own remaining quota and manage memory through the gateway — not just consume tokens through it.

It's 100% local (zero telemetry, AES-256-GCM at rest), MIT-licensed, has a prompt-injection guard on every LLM route, opt-in memory, and runs on npm, Docker, desktop or your phone via Termux.

For context on whether it's worth your time: it's grown to ~9.8K GitHub stars, 1,490+ forks and 280+ contributors in ~4.5 months, with 21,000+ automated tests and 1,830+ issues closed — so it's a battle-tested project, not a brand-new experiment.

npm install -g omniroute

GitHub: https://github.com/diegosouzapw/OmniRoute · Site: https://omniroute.online

Would value a critique of the routing/compression architecture from this crowd.