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LampBuilder – Create a startup landing page in seconds

Hacker News

LampBuilder – Create a startup landing page in seconds

We got inspired to create a landing page builder to help us test startup ideas. Our goal is to build tools to help you quickly validate a concept and engage with potential users. LampBuilder is a free and fast landing page generator that aims to become a go-to tool for kick starting new ideas. We plan to keep the landing page generator and custom domain hosting free forever. Future plans are to add more components, a code base download option, waitlist functionality, pre-order payments/subscriptions and to expand into a MVP product builder. It will be great to hear your feedback on what tool-set would best help you validate your startup ideas.

Visit productView on Hacker NewsAug 8, 2023
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Actual performance

30points
12comments
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, builder, users · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, 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
33%33% 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: users · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
12%12% 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.

Incorrect prediction on native model

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