Subpage – The simplest way to create lead magnets and collect leads

Hacker News

Hi there, I built a tool that allows you to create lead magnets as web pages instead of PDFs, gate them and collect leads. - You can create multiple organizations from the same account, each organization with its own domain, lead magnets, leads, etc; - We have integrations with other tools through Zapier and webhooks; - We have multiple gating methods; - We have a free tier (no CC required) - It's a Notion-like editor; We have more than 300 users, but we're searching for more feedback to improve it. Examples of lead magnets built with Subpage: https://sampdunn.subpage.co/cheatsheet https://info.finerlivinggroup.com/relocatingtodallas https://iandreileo.subpage.co/lead-magnet-reddit-50-sign https://resources.it-emergencies.com/avoid-it-issues And many, many others. https://subpage.co

Visit product View on Hacker NewsOct 31, 2024

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2points

Did not reach leaderboard

Launch Intel predictions

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

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TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% 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: 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.

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

18%18% 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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