Build Dashboard 3x Faster

Hacker News

Hi HN! We built an AI-powered dashboard builder to help small and scaling online sellers build busiess dashboards 3x faster. It is designed for end users who aren't data experts, but it is ready for technical people to try and share feedback. Try it here: https://app.processly.ai Demo/How-to-use: https://youtu.be/Gpt2KBpMKas?si=7Nw_walC1KuFkhyz What it does: 1. generate SQL and return its results while keeping the raw data private 2. ui to create and share dashbaords 3. affordable - it's like Tableau but for small busiesses It is focused on simplicity, especially for non-technical teams. We'd love your thoughs.

Visit product View on Hacker NewsNov 22, 2024

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

80%80% 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 · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

55%55% 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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder, users · Missing: plus, platform, intuitive

41%41% 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

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

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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