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Two-way Jira sync in a collaborative spreadsheet and Gantt

Hacker News

Two-way Jira sync in a collaborative spreadsheet and Gantt

Hello HN, Our startup nearly died 2 years ago. We kept losing customers to spreadsheets. And it made us see a problem right under our nose: everyone just wanted flexibility & speed from a spreadsheet. But they have to stay in sync with {Jira / Salesforce / insert SaaS app}. When we followed this thread, we discovered how broken the integration experience was for flexible products like Airtable, Smartsheet, Monday, and Google Sheets. Their big problem is that they transform external data into their own format. This makes setup harder, since you have to get the mapping just right. And often you can’t sync back. We took a different path when building Visor. We essentially made a data lake & ETL tool with a front-end. Visor integrates with your Jira instance, reads its schema, helps you import the right data, and lets you work in a flexible spreadsheet* that syncs both ways. There’s also an interactive Gantt & Timeline view. *Spreadsheet is a generous term for now. Formulas are still on the roadmap. As are many true “spreadsheet” features. But we’re working towards it. Our roadmap is public, here: https://support.visor.us/visor-roadmap And for VueJS devs, we eked out more performance from Vue 2 by modifying the core, documented here: https://www.reddit.com/r/vuejs/comments/u6tzv8/how_we_resolv... For database geeks, you might enjoy learning about the realtime graph DB we built to power the product: https://blog.visor.us/cloudstore-part-1/ I’ve seen so many great companies start out by launching on HN. It’s quite a special personal moment finally to be sharing with you all. I’m happy to answer questions, take criticism, and generally hear what you think.

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
83%83% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, active · 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: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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