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Analytics and Attribution for DeFi

Hacker News

Analytics and Attribution for DeFi

Building a successful onchain app is hard. It gets even harder when you don't know how people are using it. You're shipping features, running campaigns, and trying to find product-market fit, but without clear data, you're lost in a dark forest. Analytics remains as one of the biggest challenges in crypto. Think about the questions you're trying to answer every day: * Who are my top users? * What drove them to us? Where do they come from? * Which channels or campaigns are working? * How are users using my app? * What's my CAC? LTV? ROI? * What is moving the needle onchain? To answer the above in web3 you'd need an in-house data team, complicated data pipelines, and juggle multiple fragmented tools. What if there's an easy way to understand who your users are and what they do so you can build a better app, faster? Formo is the data platform for onchain apps and builders. It’s the tool we wished we had as builders when we were struggling to turn raw onchain data into something useful. Formo transforms the messy data silos of wallets, transactions, web, and in-app events into clear, actionable insights for your whole team from product to marketing. We built Formo to give scrappy founders, product, and marketing teams in web3 the clarity they need to grow. It helps you: * See the full user journey from offchain to onchain, to spot exactly where users are dropping off, helping you fix bottlenecks and improve your app. * Identify your most valuable users—the whales and power users—so you can more effectively engage and retain them. * Segment wallets into cohorts based on their behavior to see which users stick around and to help refine your ICP. * When you ship a new feature or launch a marketing campaign, you can measure its impact immediately on metrics that matter, not vanity metrics. Many builders we talk to went so far as to cobble together their own analytics solution in-house, because of data silos and fragmented tools. There wasn't an existing solution that worked for them. A few scripts, an internal database, Google Analytics, and BI tools. But that DIY stack quickly becomes a time sink. It’s expensive to run, complex to maintain, and the data is often out of date. Formo replaces that headache. From analytics to forms, we handle the infrastructure so you can focus on your core product, not data plumbing. Built with privacy and security in mind, Formo integrates with the tools you already use, allowing you to push insights into dashboards, set up alerts, or export data in less time. Stop guessing and start measuring what matters in crypto.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
97%97% 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: google, apps, user · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, google, users · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, lua, existing · Missing: https docs, excited, just released
38%38% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: web3, crypto · Missing: chat, cryptocurrency, make money
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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