Tu
Turbo charge your apps with CloudBoost Cache
Hacker NewsTurbo charge your apps with CloudBoost Cache
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto59%59% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% 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, podcasting32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Tu
Turbo-colormap, TypeScript helpers for the Turbo dataviz colormap50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turbo-colormap, TypeScript helpers for the Turbo dataviz colormap
Hacker News1Tu
Turbo Base64 Encoding/Decoding library44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turbo Base64 Encoding/Decoding library
Hacker News1Tu
TurboRLE – Turbo Run Length Encoding using SIMD39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TurboRLE – Turbo Run Length Encoding using SIMD
Hacker News23Tu
Turbo Boost Disable for macOS39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turbo Boost Disable for macOS
Hacker News16Bo
Borland/Turbo C++ flavor menus for Vim 8.249%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Borland/Turbo C++ flavor menus for Vim 8.2
Hacker News9My
My Turbo Pascal compiler in JavaScript63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Turbo Pascal compiler in JavaScript
Hacker News101Tu
Turbo Base64 library. AVX512 Faster than memcpy and any other base6464%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turbo Base64 library. AVX512 Faster than memcpy and any other base64
Hacker News5Tu
Turbo Base64 the fastest base64 now more faster56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turbo Base64 the fastest base64 now more faster
Hacker News1Tu
TurboHist: Turbo Histogram Construction55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TurboHist: Turbo Histogram Construction
Hacker News5Tu
TurboRLE: Bringing Turbo Run Length Encoding Incl. SIMD to Java31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TurboRLE: Bringing Turbo Run Length Encoding Incl. SIMD to Java
Hacker News2