Cyclesolved — Crypto cycles, solved.
Daily 0-100 crypto scores that show their work
What it does
Cyclesolved scores 100+ cryptocurrencies 0-100 every day across five signal categories: technicals, on-chain activity, fundamentals, sentiment, and macro. Every score shows its work — tap any coin and see exactly why it scores what it scores. Portfolio scoring, price and score alerts, a market heatmap, and developer activity rankings. Methodology published, data sources disclosed, missing data never inflates a score. After 8+ years in crypto. On iPhone and web. Free 7-day trial.
Multi-signal crypto scoring across technicals, on-chain, fundamentals, sentiment, and macro. One transparent score, full methodology disclosure.
20 metrics per coin. 5 signal categories. Ranked scores daily. Rising stars. See the full scanner with per-metric breakdowns, the heatmap, and developer activity. Watch the 2-minute walkthrough of how the scanner scores every coin. Because you can't check it. Cyclesolved publishes every metric behind every score, every data source, and the reasoning. If you disagree with a weighting, you can see exactly what you're disagreeing with. Technical, on-chain, fundamentals, sentiment, and macro, combined into a single 0 to 100 score with a bucket label. Click any coin to see each metric's value, subscore, and a plain-English reason. Transparent by default. Colored grid of the top 100 by 1h, 24h,…from cyclesolved.com
Does the same job
all alternatives →
More commerce this month
the category →
Compare your startup equity grant for free.
Commerce · 26d ago · equitybee.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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