SnapSearch v1.0.0

SnapSearch v1.0.0

Indie Hackers

Screen Capture Tool

I created SnapSearch because I was frustrated with the cumbersome process of reverse image searching. Every time I wanted to identify something on my screen - whether it was a product, text in an image or a question

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
71%71% 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 · Missing: mobile apps, ios, personal
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, 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
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
15%15% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Go
Golongpoll v1.1 released33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Golongpoll v1.1 released

Hacker News3
go
gocryptfs, an aspiring successor to EncFS, now in v1.049%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

gocryptfs, an aspiring successor to EncFS, now in v1.0

Hacker News20
Ne
Neodoc v1.0.0-rc.128%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neodoc v1.0.0-rc.1

Hacker News6
Re
Revivejs v1.1.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revivejs v1.1.0

Hacker News1
Go
Go-Featureprocessing v1.0.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go-Featureprocessing v1.0.0

Hacker News1
Py
Pyinfra v1.428%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pyinfra v1.4

Hacker News3
Am
Amfora v1.9.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Amfora v1.9.0

Hacker News1
Oh
Ohayo v1 (2017)21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ohayo v1 (2017)

Hacker News2
Ar
Ark v1.0.045%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ark v1.0.0

Hacker News10
In
IntroJS v1.0.0 released33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IntroJS v1.0.0 released

Hacker News6