Fluxway
Your users should hear from you. Now they actually will.
What it does
Lifecycle email tools make you write the templates, blast them from a marketing domain, and report opens. Fluxway does the opposite. It reads each user's real PostHog activity and drafts a personal note in your voice. It grades every draft on five checks before it sends from your own Gmail. No segments. No tracking pixels. It proves lift against a real 10% holdout, not opens.
Fluxway turns product activity into personal 1:1 emails from the founder. AI drafts in your voice, you approve, it sends from your inbox.
PostHog → AI → your inbox. AI drafts the follow-up in your voice; a second AI grades every draft and forces a rewrite when it misses. What clears your rules sends itself, from your address. A holdout proves what it caused. And when a flow stalls, a check-up tells you why, with evidence, and drafts the fix. Every workspace starts in dry-run: it drafts for a week and sends nothing until you say go. Stoneprint just connected a workspace but didn’t get past inviting your teammates. Most folks at this point either hit a snag with SSO or wanted to import their existing brand kit first. Which is it? Stoneprint just connected a workspace but didn’t get past inviting your teammates. Most folks at…from fluxway.io
Does the same job
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More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.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