Launch Intel
Bestlist

Bestlist

Indie Hackers

Discover the best of anything.

We're frustrated with the current ways to search and discover products and services online.

Visit productView on Indie Hackerscommitment-full-timeemployees-under-10founders-code-no
Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
18%18% 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, revenue
8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

OOTT
OOTT

Discover the nightlife

BetaList
Di
Discover HaxeFlixel50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover HaxeFlixel

Hacker News17
Ba
Baytyab – (Re)discover couplets in classical Persian poetry54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Baytyab – (Re)discover couplets in classical Persian poetry

Hacker News2
Pr
ProNoise, where "the Masses Discover and Musicians Succeed."34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ProNoise, where "the Masses Discover and Musicians Succeed."

Hacker News2
(R
(Re)discover Lorenz attractors50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

(Re)discover Lorenz attractors

Hacker News2
Upseen
Upseen58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover the unseen

Indie Hackerscommitment-side-project
Upseen
Upseen45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover the unseen

Indie Hackerscommitment-side-project
Swipeart
Swipeart24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover 7000+ Paintings by Swiping

Product Hunt+214Art
Di
Discover Your Empathy and AI Alignment Through Ambiguous Sentences22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover Your Empathy and AI Alignment Through Ambiguous Sentences

Hacker News1
Pi
Pidaia, find the best exhibition in Paris48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pidaia, find the best exhibition in Paris

Hacker News7
Be
Best of Show HN (June 2013)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Best of Show HN (June 2013)

Hacker News1
Browse all productsAnalyze your launch