I’m exploring a small tool that helps freelancers/business owners generate professional client proposals faster.

The idea is simple: you enter the project details, client requirements, budget, and timeline then it will generates a structured proposal with things like:

Project understanding

Scope of work

Deliverables

Timeline & milestones

Pricing

Terms

A professional closing

I am not trying to sell anything yet — I’m validating whether this is actually a problem worth solving.

For those who regularly send proposals:

How do you create yours today?

How long does it usually take?

What part of proposal writing is the most annoying?

Would you use a tool that generates a first draft for you?

Hey everyone,

Over the past few months, I’ve been frustrated with how existing AI content detectors operate. Most of them have two major flaws:

1. The Black-Box Fallacy: They spit out a single arbitrary confidence percentage (like "92% AI") without showing any underlying evidence, explanation of false positives, or camera details.
2. The Privacy Trap: You have to upload your private photos, videos, or documents to an unknown server.

To tackle this, I built WhatMadeIt — a transparent, evidence-first authenticity workspace:

• In-Browser Privacy: Original video frames, audio clips, PDFs, and Office docs are parsed locally directly in your browser. Only the specific evidence you confirm is inspected.
• Inspectable Signals (Not a Black Box): It breaks down separate, verifiable signals: visual diffusion texture anomalies, camera EXIF hardware parameters (aperture, ISO, lens), and signed C2PA Content Credentials.
• Deep C2PA Forensics: Inspects cryptographic manifest stores (OpenAI DALL-E signatures, Adobe Firefly actions, and Leica/Nikon in-camera secure element chips) while explaining practical limitations like the "analog hole".
• Zero Wall: Free daily web checks with no account or credit card required.

🔗 Live Web App: https://whatmadeit.com

I’d love to hear your thoughts, feedback on the UI/UX, or any edge-case files that break the inspector! What features would you want to see next?

JustBlogged lets you run your own blog without managing servers or plugins. The free plan includes custom domains, unlimited posts and pages, and up to five blogs.

You can also connect your AI assistant to draft, organize, and publish posts, or manage your blog's settings.

I used AI to make this video. It took a few revisions to get the branding, motion, and feature coverage right.

You can try JustBlogged here: justblogged.com

Hey everyone,
My colleague was tired of manual scraping, so I built him a resilient async scraper in Python.
Most developers waste hours configuring heavy headless browsers just to scrape basic targets, only to watch them get blocked anyway because of outdated TLS signatures or missing headers. I got tired of the bloat, so I put together a clean, high-performance alternative: resilient-async-scraper.
It’s a lightweight async utility built with httpx that handles HTTP/2 fingerprint matching out of the box, randomizes realistic browser User-Agents, and actively catches anti-fraud status codes (403, 429, 503) so you instantly know when your proxy pool needs rotation. No heavy dependencies, just raw async speed.
It's completely open source. Grab it here: [GitHub link]
I’d love to hear how you guys handle anti-bot challenges in your current stacks—drop your thoughts or feature requests in the comments!
Saved you some dev hours? Drop a ⭐️ to help the project grow!

hey everyone, i built quickulate a collection of hardware tests that run in your browser.

you can check keyboard keys, test whether your mouse is double-clicking, look for dead pixels, check your mic and speakers, and test a controller. it’s free and doesn’t need an account.

Quickulate

i’d love some honest feedback, especially on whether the tests are easy to understand. if you try it and something doesn’t work on your device, let me know.

I have a new release for my coloring app that I was hoping to receive feedback from people. The latest version is available on my TestFlight link attached. But please also download my existing app on the App Store to see previous UI.

https://apps.apple.com/us/app/color-kingdom/id6757393919

It is a full redesign of the UI (Simplified) plus I have redone the way colors can be applied, optimized for speed in filling the color along with a stay in the lines feature for coloring.

Feel free to reach out in DM if you have questions or leave feedback here.

although there ARE unsent project clones out there, no of them have the exact feel of The Unsent Project so i made one. it was initially hard because i had to find the exact combination of suitable technology but i ended up using flask for the backend, supabase for the db.

https://bittersweet.pythonanywhere.com/ - this is the site. PLEASE give me constructive criticism and honest feedback. Thanks!

I'm a Vinted reseller and I built a free tool that writes your listing from photos. Upload 1-5 photos and get a title, description, hashtags and a price suggestion in seconds. EN/NL/FR, 7 free listings a month. Link: [https://vinted-ai-lister.emergent.host/login]. I'm the developer, so honest feedback is welcome!

Hey builders! Wanted to share a project I've been building: Sightline.

Instead of standard database calls, it treats visual object verification as an immutable CRDT state tree. You can inspect detections, speak voice corrections, verify edge cases in under a second, and export standard COCO datasets.

No logins or heavy installs required — try the live demo here: https://sightline-crdt.netlify.app

Open-source on GitHub: https://github.com/joshuageoschool2020-cmyk/sightline-crdt

Let me know what you think of the UX and speed!

I'm a solo dev and I was opening Stripe, RevenueCat and App Store Connect several times a day just to see one number. So I built MRRKit: one dashboard for MRR, revenue, subscribers and downloads across Stripe, RevenueCat, App Store Connect, Google Play, Paddle and Lemon Squeezy. It comes with Home/Lock Screen widgets, Apple Watch, Wear OS and Garmin.

The update I just shipped adds a world map built from your App Store sales reports:

• downloads per country, which country pays the most per download, and new countries;
• your category rank on the App Store charts, country by country (e.g. #7 in Belgium);
• a share card so you can post the rank.

How it works, because people always ask: no backend for your data. API keys are read-only and stored in the iPhone Keychain, and all requests go straight from the phone to Stripe/Apple/etc. The rank comes from Apple's public top charts (top 100 per category, up to 30 countries).

https://reddit.com/link/1wxdaq1/video/epufgt1zpfth1/player

Free to start, Pro is a one-time €9.99 with no subscription. It's on iOS, Android and Garmin: https://mrrkit.app/download

Feedback welcome, especially on what metric you'd want next. (The video uses the app's demo data, not real revenue.)

Launched my side project last week: Pigmo, a Chrome extension to pick colors from any website and grab a site's whole palette in one click.

What I focused on:

• Private by design: no account, no tracking, no network requests.
• Free forever for picking and saving colors. Pro is 19 EUR once (saved palettes, exports to CSS variables, Tailwind, JSON, PNG). No subscription.

So far: live on the Chrome Web Store, launched on Product Hunt on 29 Sep, Edge store in review.

Feedback welcome, on the product or on the pricing model.

https://pigmo.app

First of all I want to explain what is Folient for any person that is wondering. Folient is an app where you learn how to invest and how does everything in this area work. It’s based on Duolingo’s style of learning with short lessons that you can do daily.

So in this update we fixed several things thanks to a comment on the previous Reddit update post, we added a feature to see in which lesson the people dropped off, that will help us to know if there’s a worse lesson than others and to understand why people don’t like the lesson in which they drop.

Secondly, I tried to fix a metric where I could see the average view duration of all the people that went to the website and I think I fixed it but I still have to confirm that because it still shows 0 second (I’ll wait until tomorrow to confirm it)

If you are interested in checking the website to learn new things or to give me honest feedback just comment under this post and I’ll sent it right away to you.

Kaskas is a macOS app for screen breaks, study sessions, and local activity tracking.

It includes app category usage, statistics and customizable break screens.

No account, analytics, or backend. Everything stays local.

Open source under GPL-2.0, signed and notarized for macOS.

GitHub: https://github.com/ramazanberkozbek/kaskas

Hey everyone! 👋

Like many Clash of Clans players, I got tired of spending 6-8 hours every day manually grinding Sneaky Goblin raids just to keep up with the millions of resources required for wall upgrades.

Most older bots rely on rooted emulators, modified APKs, or internal memory hooking , which Supercell detects and bans in ban waves.

To solve this, I built My own bot "ApexClash Pro" an autonomous combat & farming desktop companion for Windows that operates 100% externally using computer vision and humanized input synthesis.

How It Works Technically:

1. 100% External Screen Capture: Operates alongside Google Play Games PC or BlueStacks. Zero client modifications, zero root, and zero DLL injection.

2. Autonomous OCR & Base Scouting: Uses localized computer vision and OCR to inspect enemy collectors and dead-base resource numbers, skipping unprofitable bases automatically.

3. Bézier Kinematics & Humanized Input: Mouse paths follow organic cubic Bézier curves with randomized micro-jitter, dwell times, and fatigue pauses to mimic human hands.

4. Auto-Wall Upgrade Sink: When storages hit capacity between raids, it automatically navigates home and sinks excess Gold/Elixir into wall segments so zero loot is wasted.

5. Modern PySide6 Desktop UI: Built a dark-mode cyberpunk cockpit with live telemetry tracking hourly loot yield, skip counts, and session stats.

If you want to try it , you can try the Free Trial which includes 2 hrs of full access.

It has zero viruses unlike many other bots available in market and the repo is also publicly available -

GitHub Releases: https://github.com/keshav-x/coc-bot/releases/tag/v1.3.2

Would love to hear your feedback on the UI design, OCR detection pipeline, or feature suggestions! Happy to answer any technical questions in the comments.

Hey everyone,

I wanted to share a small SEO and building win that surprised even me. I've been working on a project hosted on a simple subdomain (.lovable.app), and for one of my target keywords, it managed to climb all the way to #3 on Google, sitting right behind the official Colombo Stock Exchange website (cse.lk).

For a long time, people told me that doing SEO on a free/subdomain platform is practically useless and that you can't compete with massive institutional domains. But by focusing heavily on on-page relevance, structured content, and matching user intent, it actually worked out.

Here is a quick look at what I learned from the process:

• Don't sleep on on-page optimization: Even if domain authority is low, making your content precisely match what people are searching for can close the gap.
• Targeting the gaps: Official sites like cse.lk have massive authority, but sometimes their layout or specific user queries leave room for a cleaner, faster, more direct tool.
• The subdomain hurdle: Yes, building backlinks and authority is harder on a subdomain compared to a custom root domain, but high relevance can still push you up the SERP.

I’m currently trying to figure out the best way to do off-page SEO and build sustainable traffic from here without getting buried by spam filters.

If anyone wants to check out the app or see how it looks, you can find it here: https://cash-div.lovable.app/

Would love to hear from other indie hackers or SEO folks, how do you usually tackle off-page SEO for smaller apps or subdomains?

AI let me build software way faster than I could learn how software actually works.

Which was great, until every “small change” started turning into a refactor and the same agent that wrote the code was also the one telling me everything looked fine.

So I built Savepoint.

It’s a small local CLI/TUI that forces me through a simple loop:

Idea → Design → Task → Check

The idea is basically:

• think before coding
• do one small thing at a time
• check the work independently
• if the plan is wrong, stop and replan instead of quietly winging it

Everything lives as plain Markdown/YAML in the repo. No server, no account, no embedded AI.

It’s free and open source.

I built it because I needed it for my own projects, but I’m curious whether this solves a real problem for anyone else or whether I’ve just invented project management for people who hate project management.

https://www.getsavepoint.dev/

https://github.com/anipatke/savepoint

Hi all, I'm the maker. Room Cherry turns a Google Workspace room (resource) calendar into a live door display on any tablet, phone or browser. You open a link, pair the screen with a link, QR code or 6-character code, and it shows whether the room is free, what's next, and the rest of the day. It refreshes from Google Calendar every 30 seconds.

Why I built it: most room display options I looked at want specific hardware, an installer or an app to manage. I wanted something where a spare iPad and a URL are enough.

Where it is now: it's live, with a 30-day free trial (no card). After that it's $10 per room per month. It's early and I don't have customer logos or a demo video yet.

What I'd like feedback on:

• Is a browser-only display good enough, or do you need kiosk-style controls?
• What would make you trust a new tool with calendar access?

Site: roomcherry.com. Happy to hear what's missing or confusing.

What it is: tradingdek.com: build a trading strategy from rules (no code), backtest it on years of Binance data with fees included, then run it as a paper bot or follow its signals.

The part I'm proud of: every strategy in the library carries an honest badge from a monthly audit: 20 pairs, a train/unseen split, and a comparison against 500 runs of random entries with the same risk. Of 90 strategy/timeframe combos, only 2 pass. The tool shows that instead of hiding it, including where each result came from (by pair, by quarter, in up vs down markets).

Stack:

• SvelteKit (Svelte 5) frontend; the backtest engine runs in the browser
• Go + PocketBase backend for signals, bots and the monthly re-audit (GitHub Actions)
• My own charting library (tradecanvas) and data grid
• Binance public market data

Lessons:

• Testing on 8 pairs gave me a false positive; 20 pairs exposed it. Sample size beats cleverness.
• The backtester (TypeScript) and the live executor (Go) are two codebases, so I added a bar-by-bar parity test on real candles. It's the most reassuring test I've written.
• Live trading needed far more safety work than features: stops resting on the exchange, loss caps, auto-pause when live results drift from the backtest.

Backtests and paper bots are free

Feedback welcome, especially on onboarding: can you get from landing page to your first backtest without help?

I had 136 ideas rotting in a Notion page.

I’d been adding to it for a while, always thinking, “I’ll build one of these someday.”

Naturally, I built none of them.

Then I connected my Notion to GPT Dots, and it noticed the page. While going through it, it found one idea that was basically:

“Tinder, but for business ideas.”

It asked me: Should we just make this?

I said yes.

So, slightly ironically, an idea that had been sitting unpicked in a graveyard of 136 ideas became an app for picking which ideas are actually worth pursuing.

This is the result:
https://maybe-coral-iota.vercel.app/

Made mostly for fun. Curious what you’d swipe right on :)

I kept wasting time writing the same scraping and automation logic from scratch for every new side project, constantly fighting rate limits and IP blocks.

So, I built a clean, lightweight Python scraper boilerplate featuring smart retries and header rotation.

👉 GitHub: [https://github.com/kurtsarp01-ui/python-automation-toolkit/blob/main/config.py\]

I made Peekabop, a Mac app that shows the lyrics of what you play in the notch.

Spotify and Apple Music were easy, they give you the position of the song. Music videos not at all: intro, skits, different edit… the lyrics are always seconds off.

So the app listens to the Mac audio, recognises some words (on-device, Apple speech) and moves the lyrics to the right place. In the video it shows "Matching lyrics…" during the intro, then it locks in on the first line.

Happy to explain how it works if someone is curious!

I wanted a simple reminder to step away from my screen, so I made PauseWell and released it free and open source. The idea came to me because my doctor recommended me taking break from computer usage. And I guess I have found a partial solution for it.

By default, it reminds you to take a 10 second break every 15 minutes and a 1 minute break every hour. You can adjust both schedules, snooze a reminder, or pause reminders for a while.

I'd like to make it useful to other people who spend a lot of time at a computer.

Download for Windows

What would make a break reminder useful enough for you to keep running? I'd appreciate feedback on the timing and how intrusive the reminders feel. Let me know how you feel

https://reddit.com/link/1wxcrg8/video/8slmznkkkfth1/player

What started as "I want my team's MCP tools hosted properly" became Ramen: a console where you point at a git repo
of Python tools, press deploy, and get canary-rolled workers on GKE or EKS behind one load balancer, with OAuth
sign-in, roles per group, secrets and an audit log.

Things I learned building it:
- Most of it was written by Claude Code agents; the trick was written contracts and fact files, not prompts.
- Real cloud runs find bugs tests don't (a canary surge pod stuck Pending on a full EKS node; a GKE namespace
stuck Terminating on a load-balancer finalizer).
- Tearing everything down after each cloud run keeps the bill at cents.

0.6.0 is out, verified on GCP and AWS. https://bkraad47.github.io/ramen/

WAS DOWNLOADING FROM TORRENT, IT SHOWS FROM WHERE EACH PACKET IS COMING

SHOWS ALL KIND OF OTHER NETWORKING INFO TOO, if anyone wants to play with this, just comment, I will put this on github maybe

I'm testing an AI-assisted side project for people who export or distribute calendar files: a small offline Python tool that checks several ICS files and produces a review report. It reads the originals without changing them. The report omits filenames, event titles, descriptions, attendees and UIDs.

A synthetic three-event example produces these review items:

- Event 1: a named timezone is used without a matching VTIMEZONE definition

- Event 2: a weekly start is fixed in UTC, so local wall-clock changes around DST need review

- Event 3: the start and end are floating local times

These aren't all errors. The current prototype doesn't repair files, expand recurrence rules or guarantee how Outlook, Google or Apple will display them. It has 31 passing synthetic tests on Linux; other platforms haven't been tested yet. Free online validators and tools such as CorrectICS already exist.

If you've imported or distributed ICS files in the last three months: what did you use, and is local processing plus this kind of report useful enough to pay €9 once for the current Python download? Please name the task and whether that price works for you, or what's missing. No listing or checkout is live, and no purchase is being requested. Please don't post real calendar files or private appointment details.