To

Toss an ETH – Let fans support you with crypto

Hacker News

Toss an ETH – Let fans support you with crypto

Share card

Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: crypto · Missing: web3, chat, cryptocurrency
85%85% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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, podcasting
26%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, macos
25%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, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Buy Me A Coffee
Buy Me A Coffee30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let fans donate and support you

AppSumo
On
Only Fans50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Only Fans

Hacker News10
Sqika
Sqika19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Celebrity shout-outs for fans

Indie Hackers
gobar
gobar18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fuel your gobar with the support of your fans

Product Hunt+13
buymeatea
buymeatea38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your fans want to buy you a chai. Let them.

Indie Hackerscommitment-full-time
Lo
Lorem Simpsum – A Lorem Ipsum Generator for Simpsons Fans41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lorem Simpsum – A Lorem Ipsum Generator for Simpsons Fans

Hacker News1
Yu
Yuks – Discover comedians, for comedy fans46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yuks – Discover comedians, for comedy fans

Hacker News1
Pe
PewDiePie Fans seem to have taken down wsj.com39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PewDiePie Fans seem to have taken down wsj.com

Hacker News3
Ceiling Fans
Ceiling Fans32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Buy electric ceiling fans.

Indie Hackersvertical-sales
GoodSongs
GoodSongs72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Where Musicians and Their Fans Meet

Indie Hackerscommitment-side-project