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Free Access – Boost Website Conversions (Code: TEST1)

Hacker News

Free Access – Boost Website Conversions (Code: TEST1)

Hi HN, I’m the developer of AppBars, a popup builder designed to help websites boost conversions with engaging, non-intrusive popups. It’s easy to use, integrates with platforms like WordPress and Shopify, and includes features like A/B testing and analytics. I’ve always avoided offering a free trial because I believe it can attract the wrong users and devalue the product. However, after numerous requests, I’ve decided to run an experiment and offer 100 free trials of AppBars to see if it truly increases conversions. If you’re a startup, have a SaaS product or a Website and want to increase conversions, use the code TEST1 at sign-up for free access to AppBars. Looking forward to seeing how it works for you!

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Actual performance

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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: user, code · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, 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
35%35% 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 · Strong signals: platform, builder, users · Missing: plus, intuitive, reviews
25%25% 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, shopify · Missing: arr, mrr, revenue
11%11% 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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