Re
Red pepper chef – distinguish parts of a red pepper to keep vs. discard
Hacker NewsRed pepper chef – distinguish parts of a red pepper to keep vs. discard
Share cardActual performance
51points
15comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto79%79% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
VH
VHDL arbiters (three parts)56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters (three parts)
Hacker News1No
No Scary Parts56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No Scary Parts
Hacker News2VH
VHDL arbiters tutorial – Three parts37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters tutorial – Three parts
Hacker News1Cy
Cyberdeck Made from Scrap Parts57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cyberdeck Made from Scrap Parts
Hacker News1BB
BBC vs. Fox vs. CNN44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BBC vs. Fox vs. CNN
Hacker News10We
WebTransport vs. WebRTC vs. WebSocket68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebTransport vs. WebRTC vs. WebSocket
Hacker News33Pr
Predator vs. Boids46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Predator vs. Boids
Hacker News2Da
Darth Vader VS Disney pwning Vader OR Meh.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Darth Vader VS Disney pwning Vader OR Meh.
Hacker News1Om
Omegle vs Cleverbot44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Omegle vs Cleverbot
Hacker News2In
Infographic Timmmmeee: DogVacay vs. Rover44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Infographic Timmmmeee: DogVacay vs. Rover
Hacker News2