Li
LinkedIn Hype Crew
Hacker NewsLinkedIn Hype Crew
Hi HN - we’ve been working on a fun project that I wanted to share It takes your PDF LinkedIn profile or resume and generates a short podcast either hyping you up, or roasting you. It takes your professional experience and crafts a narrative of your life and why you’re so successful. Or if you want a roast… It pokes holes and makes fun of you. I’d love to hear any feedback! https://podial.ai/hype
Share cardActual performance
16points
19comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting69%69% predicted probability of success on Indie Hackers, 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, personal31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released29%29% 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, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit15%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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
An
An AI Hype Thermometer32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An AI Hype Thermometer
Hacker News2Aeroster24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Smarter rosters for pilots and cabin crew.
Indie Hackers1transportationFa
FamousFaces, after the hype: AI for fun22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FamousFaces, after the hype: AI for fun
Hacker News3CallShoot41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Manage your crew and shoots (call sheets, crew lists and +)
Indie Hackers1eventsYourOnlyAI54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find the right tool, not the hype.
Indie Hackers1$10/moai
Crew92%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A tiny crew of monsters for your Claude Code agents
Product Hunt+141MacCr
Crew43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crew is a B2C SaaS that holds Solo founders Accountable of their tasks
TrustMRR1$45/moArtificial Intelligenceyo
your own LinkedIn28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
your own LinkedIn
Hacker News2Th
The linkedin Killer28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The linkedin Killer
Hacker News2CakeResume55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LinkedIn for Asia
Indie Hackerscommitment-full-time