Document Tracking like a boss – Not another file transfer tool

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Apps like dropbox, and google drive, we transfer don't work in some parts of Asia (India, China, etc) for various reasons. It's pretty hard to share huge docs/slides/presentations to our vendors and customers in this part of the world. I work for a small company and needed to solve this problem, so I built a tool that is multi-cloud backed on Cloudflare R2 + Alibaba Object Storage with a Vue js front-end. It does the job reasonably well. You can send 3gb of files to anyone and include a video message, too; please try it out and let me know what you think. We have reasonably good usage of free users in both these countries and a number of businesses. I added an asynchronous video message feature that you can add to your outbound documents, this has helped increase document open rates; people tell me it helps close more deals. Feel free to get in touch at rishi{dot}uttam@sinosend.com with your feedback. https://sinosend.com/

Visit product View on Hacker NewsAug 26, 2022

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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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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: apps, video, google · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

17%17% 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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