Si

Sidsi, a Q&A app. Feedback v welcome!

Hacker News

Sidsi, a Q&A app. Feedback v welcome!

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
68%68% 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
47%47% 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
34%34% 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
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% 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
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.

Correct prediction on native model

Similar products

In
Inwisely- Accountreceivable platform & CampaignRunner feedback welcome!28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inwisely- Accountreceivable platform & CampaignRunner feedback welcome!

Hacker News1
Re
Respect Your Friends - any feedback welcome25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Respect Your Friends - any feedback welcome

Hacker News1
St
Startup Scriptures (feedback welcome)29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Scriptures (feedback welcome)

Hacker News1
Lo
LongPW - I'm experimenting with this idea. Feedback is welcome36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LongPW - I'm experimenting with this idea. Feedback is welcome

Hacker News3
We
Welcome Releasepost54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Welcome Releasepost

Hacker News1
Ou
Our startup has just launched, feedback welcome32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our startup has just launched, feedback welcome

Hacker News3
Li
Lisp Interpreter in Python (Experimental project, feedback welcome)52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lisp Interpreter in Python (Experimental project, feedback welcome)

Hacker News4
Vi
Visual Search app for iOS8, Snap Search, feedback welcome28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual Search app for iOS8, Snap Search, feedback welcome

Hacker News1
Fe
Feedback app29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Feedback app

Hacker News139
Ap
App for nonprofits, feedback appreciated28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

App for nonprofits, feedback appreciated

Hacker News15