Launch Intel
TypeBoost

TypeBoost

TrustMRR

TypeBoost is a macOS desktop app that allows users to apply AI text prompts system-wide to highlighted text – directly within other applications, without leaving the context. The app is launched via a

TypeBoost is a macOS desktop app that allows users to apply AI text prompts system-wide to highlighted text – directly within other applications, without leaving the context. The app is launched via a global keyboard shortcut and enables users to quickly apply saved AI prompts to text, for example, to improve emails or edit text creatively.

Visit productView on TrustMRRMar 31, 2025Artificial IntelligenceSoftwareBoth
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Actual performance

2customers
$16MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating35
MRR growth 30d-90.0%

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, user · Missing: agents, agent, cursor
92%92% 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: users · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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