We ungated our product (no signup)–is it a good idea?

Hacker News

Users within our ICP were dropping off during or right after the signup process, never reaching that crucial “aha moment” where they truly see the value in our product. Typically, this moment happens when they’ve created an interactive demo they’re happy with. We were like... "let's just do it". So, we decided to ungate our product—removing the signup step entirely at this stage of the user journey. Of course, users can still sign up if they want to continue using the product, but our aim was to reduce friction and align with the supposed future of product-led growth, where ungated experiences help users quickly grasp a product’s value. We’re tracking key metrics—like increased engagement, faster time-to-value, and created demos—but it’s still early days, and the results are mixed. We’ve seen spikes in usage, but also some users creating “meaningless” demos, likely due to being overwhelmed by too many options. I’m eager for your thoughts: - What do you think of this specific ungated experience? - Were you able to create your first interactive demo? - Any other ungated product you really like, and why? Open to any feedback or discussions!

Visit product View on Hacker NewsAug 28, 2024

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best fitHighest predicted score across all platforms for this description.

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nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · 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 · Strong signals: users · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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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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