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Turn Any Email into a Custom Slide Deck

Hacker News

Turn Any Email into a Custom Slide Deck

If you've been in SAAS sales you know how annoying it is trying to build custom presentations all the time. My cofounder and I built an app that will turn regular email follow ups into customized landing pages where we can track the interactions and engagement metrics, and makes it easier for the deal to stay organized in one spot. We're still validating our product, so if you use the code HACKER at signup we're doing two months completely free. Nothings off the table, landing page, product suggestions, idea validation. HACKER code for 100% off 2 months of PRO just for first time users

Visit productView on Hacker NewsOct 16, 2024
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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, presentations · Missing: mac, agents, macos
81%81% 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 · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%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 · Strong signals: month, users · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
17%17% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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Turn email into your superpower

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