Pi

PitchPower – AI powered proposal generation for consultants

Hacker News

PitchPower – AI powered proposal generation for consultants

Hey HN! I'm an indie hacker who builds SAAS products in my free time. I've got a friend who runs a small consulting firm and said this would be a useful tool for them so i thought why not release it as a standalone online tool for everyone. Basically the premise is, you enter some information about your services (or we just scrape your website and figure it out). Then you enter a description of the client brief, tweak the outline, and out comes a unique tailored proposal that you can tweak with AI. That's pretty much it! Would love to hear your thoughts. Thank you.

Visit product View on Hacker NewsAug 13, 2023

Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

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

61%61% 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.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

48%48% 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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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