
TradingDraw
Draw any pattern. Find it in history. Track it. Get alerts.
What it does
Most traders spend hours watching charts waiting for their setup to appear. TradingDraw changes that. Draw any pattern directly on the chart with your mouse. The algorithm scans 400+ coins across 5 timeframes and finds every historical match — with stats on what happened after each one. Then set it to monitor live. When your pattern forms again, you get a Telegram alert instantly. No screen time required. Draw it. Find it. Track it. Profit.`
Does the same job
all alternatives →- ILI learned to code and built a crypto analytics platform2023 · tradingdigits.io · ▲108
Hey everyone! I am an enthusiast trader and a year ago I had this idea to create a free-to-use website that would feature all the most essential tools that traders would use on a daily basis. So I learned to code and build it—I did everything including design, texts, code, and SEO—which took me 12 months to launch and a year and a half to make it look like it currently does. I was into marketing and design before, but I didn't know barely anything about coding. The website is built using Next.js, Tailwind CSS, and Typescript with Framer Motion animations and lots of APIs. I’m actively…

- IBI built a tool to find trading signals that aren't just random luckSep 2025 · hikaro.app · ▲9
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…

- IMI'm building a crypto trading bot that you can follow live on Telegram2021 · ▲6
Hi HN! For the last few weeks I've been building an algotrading bot based on the Supertrend indicator. It's a trend-following bot that uses the Supertrend lines as support/resistances to enter long/short trades and it's currently running in simulated mode (not real money) on all Binance futures pairs. I've written a somewhat detailed write-up about the strategy here: https://ailef.tech/2021/05/20/im-building-a-cryptocurrency-trading-bot-that-you-can-follow-live-on-telegram/ The cool thing about the bot is that he reports everything on his Telegram…

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com

- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app