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Send large files without the pain of subscriptions

Hacker News

Send large files without the pain of subscriptions

Hi @all, I've built this out of frustration. Have you ever tried sending large files to someone? You either have to upload it to your drive and share it there, which will cost you storage space based on the subscription plan you have it can be painful. Then you need to wait for that person you're sharing the files with to download it and let you know so you can remove it again, etc. Another way is to use a service that specialized in that, like WeTransfer. But they most of the time have a pricing model that forces you into a monthly or annual subscription if you're trying to send something bigger than 2GB. Why does everything have to be a freaking subscription? aerofile is MY answer to that problem. Just upload and pay ONCE for the size of files you're sharing. That's it, not more, not less. I'm going nuts. I really don't want to manage yet another subscriptions. So I spend 2 weeks building this. Enjoy or not... PS. If ppl are interested in something like this, I'm going to make a whole suit of products out of this. Someone needs to do something about this whole subscription problem. At least from my POV. Peace!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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: model · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · 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 · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
22%22% 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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