FunnelBro 3000 – An AI that generates hustle-bro strategies

Hacker News

I got really sick of the LinkedIn/X bros and gurus and their $997 masterminds, so I built a custom GPT that tells you exactly what they would without the $997 price tag. You give it a business challenge (e.g. “grow my email list”), and it replies with: - A jargon-soaked fake playbook (think “Ascension Ladders,” “Attention Flywheels,” “Scarcity Cascades”). - An option to “Make it Worse” (even more buzzword soup). - An option to “Explain in Plain English” (where it translates the sludge into sarcastic reality, citing psychology/anthropology) — my way of helping people NOT to fall for this crap. I would love feedback on: - Is it clear enough that this is parody? I added a bunch of disclaimers but I need to make sure no one implements any of the suggestions. - Is it fun? I played with it a lot and, at this point, I can't tell anymore. Thank you!

Visit product View on Hacker NewsAug 28, 2025

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2points

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: email, plain · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

25%25% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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