I
I created Buyerbot, a Slack app for managing Amazon purchasing
Hacker NewsI created Buyerbot, a Slack app for managing Amazon purchasing
Share cardActual performance
2points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: slack · Missing: mac, agents, macos72%72% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal58%58% 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 released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto25%25% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive21%21% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Th
The Most Toxic App Ever Created29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Most Toxic App Ever Created
Hacker News3A
A prank app created with bevy29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A prank app created with bevy
Hacker News1Tw
Twosome - app created originally for my girlfriend39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twosome - app created originally for my girlfriend
Hacker News32We
We created an inbox in Slack43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We created an inbox in Slack
Hacker News4Go
Got tired of managing receipts, created myself an App36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Got tired of managing receipts, created myself an App
Hacker News1Ne
NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NewsFreak: A newsreader I initially created for myself
Hacker News1I
I created a toothbrush that docks and charges without wires42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I created a toothbrush that docks and charges without wires
Hacker News2I'
I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I'm tired of corrupt US politicians, so I created this
Hacker News334My
My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My grandfather died so I created RIP
Hacker News1Wh
Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why I created Picket
Hacker News1