In
Indeals – food and drink deals from independent venues in your city
Hacker NewsIndeals – food and drink deals from independent venues in your city
Share cardActual performance
4points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto56%56% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive24%24% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
OffPeak Deals31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Overproduction food reseller
Indie HackersDo
Do you drink too much?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do you drink too much?
Hacker News2Pubup Deals36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Eat together. Drink together. Save together.
Indie HackersLa
Laboratory.love – Crowdfund plastic chemical testing for food and drink48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Laboratory.love – Crowdfund plastic chemical testing for food and drink
Hacker News4ScentVerdict28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Independent perfume verdicts
Indie Hackerscommitment-full-timeDo
Dompasco – The World's Most Opulent Drink51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dompasco – The World's Most Opulent Drink
Hacker News2Dealiem61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your local food & drink deal finder
Indie Hackerscommitment-full-timeIn
Independent Crowdfunding Platform53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Independent Crowdfunding Platform
Hacker News1Dr
Drink Plan47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drink Plan
Hacker News15Sh
Show HN - A tweetmeme of its own for every city56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN - A tweetmeme of its own for every city
Hacker News25