LiveDocs – bring live data from anywhere to your docs, without code

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I’m Arsalan, founder of Livedocs (https://livedocs.com). Livedocs lets you bring live data from your existing tools (like Stripe, Segment, Google Analytics, or even your data warehouse) into your documents, so you and your team don’t waste time updating reports, pasting numbers or screenshots into documents. While working at early stage teams in the past, I got tired of tracking and reporting even simple metrics. My team would resort to either esoteric hacks, VBA scripts or simply nagging data guys for even simple metrics. Tracking metrics from multiple tools is a pain in the neck — so we solved it! Livedocs documents are simple to build and even simpler to share. Take Livedocs for a spin with a pre-built template. Head over to livedocs.com/templates, pick a template you like, connect your tools, and you’re ready to go!

Visit product View on Hacker NewsFeb 28, 2022

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, stripe, code · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

19%19% 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.

Correct prediction on native model

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