From 38% to 47% average launch score
The beam-search optimizer explored dozens of rewrites of this description and found a version that scores +9 percentage points higher across Product Hunt, Hacker News, Indie Hackers, AppSumo, BetaList, TrustMRR, and Acquire.com - with no fabricated claims, just smarter wording.
2026-09-15 · 4 generations · beam width 2
VibeAround Keep your vibe coding agents around.
Acquire
AppSumo
Betalist
Hacker News
Indie Hackers
Product Hunt
TrustMRRFor teams using vibe coding agents, VibeAround keeps those agents around, active and reliable during coding work.
AcquireAppSumoBetalistHacker NewsIndie HackersProduct HuntTrustMRRScore change per platform
AcquireAppSumoBetalistHacker NewsIndie HackersProduct HuntTrustMRRHow Launch Intel Optimizer works
A beam-search algorithm powered by ML models trained on 256,000+ real product launches.
Beam search exploration
Generates multiple rewrites per generation, keeping the top-scoring branches and pruning the rest. Like a chess engine for your copy.
7 real-data ML models
Every variant is scored against models trained on Product Hunt, AppSumo, Betalist, Hacker News, Indie Hackers, TrustMRR and Acquire. No heuristics.
All-time best, no regressions
Tracks the highest-scoring result across every generation. Later iterations never overwrite an earlier winner, so you always get the true peak.
Your description is worth optimizing
Paste any product description and watch the optimizer find a version your audience is more likely to respond to.