VelocityLaunch
Turn a product idea into a full launch plan
What it does
VelocityLaunch turns a product idea into a full launch plan through a guided 22-question form — Agile roadmap, marketing budget by channel, KPI dashboard, financial forecast. Powered by AI with state-of-the-art models, tailored to your product. 100% reliable: a deterministic rules engine backs it up, so you always get a complete plan even without AI configured. Export to PDF, pitch deck, GitHub/Jira, or Notion. Free to try, no card required.
Générez votre plan de lancement produit complet en 5 minutes : roadmap, backlog, stratégie marketing, KPIs, prévisions financières et suivi post-lancement. Idéal pour startups et équipes produit.
Répondez à quelques questions. VelocityLaunch transforme votre contexte en roadmap, sprints, stratégie marketing, KPIs, prévisions financières et suivi post-lancement. Un seul système pour passer de l'idée à un plan pilotable, partageable et prêt à exécuter. Roadmap, sprints et pilotage exécutif se rejoignent dans une seule vue cohérente. Chaque catégorie d'outils ne couvre qu'un tiers du travail réel de lancement — VelocityLaunch est le seul à réunir les trois dans un plan unique généré par IA. Le seul à combiner roadmap agile d'exécution (sprints, backlog, Gantt), stratégie marketing chiffrée et prévisionnel financier — généré par IA à partir d'un seul questionnaire, dans un seul outil.…from velocity.digitalblueskye.com
Does the same job
all alternatives →More growth this month
the category →
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 · 16d ago · simedw.com