Launch Intel
Thinkoutloud

Thinkoutloud

Indie Hackers

Get video and audio feedback on your designs and prototypes.

We believe user testing is one of the best tools we all have to build a product our users will love!

Visit productView on Indie HackersNov 1, 2020crodesigngrowth
Share card

Actual performance

3followers
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
87%87% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, users · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Be
Better feedback for your Axure prototypes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Better feedback for your Axure prototypes

Hacker News1
A
A place for feedback on PCB designs59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A place for feedback on PCB designs

Hacker News76
Ge
Get badass feedback on your designs with visual annotations66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get badass feedback on your designs with visual annotations

Hacker News3
Sh
Share designs and get feedback with Conjure.io71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share designs and get feedback with Conjure.io

Hacker News14
di
discuss.io - Get feedback on your designs with visual annotations72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

discuss.io - Get feedback on your designs with visual annotations

Hacker News93
Sh
Show HN - Framous - Please give us some feedback37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN - Framous - Please give us some feedback

Hacker News2
Sw
Swapidy re-imagined, thanks to your feedback39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swapidy re-imagined, thanks to your feedback

Hacker News6
Sh
Show HN (again): Thanks for the feedback heres Perks 2.045%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN (again): Thanks for the feedback heres Perks 2.0

Hacker News6
Ki
Kiezellisp, a lisp on .NET DLR with prototypes and multimethods61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kiezellisp, a lisp on .NET DLR with prototypes and multimethods

Hacker News2
Ca
Can you give feedback on this Kickstarter, please?39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Can you give feedback on this Kickstarter, please?

Hacker News1
Browse all productsAnalyze your launch