Paste2Download – No Login, No Ads, Download Videos Watermark Free

Hacker News

Hi Hacker News, I'm excited to share Paste2Download, a web app that lets you download videos from various platforms like TikTok, YouTube, Instagram Reels, YouTube Shorts, Pinterest, and even 9Gag, all without watermarks. What it does: Paste2Download simplifies the process of downloading videos by allowing you to paste a video URL from multiple platforms and download the video directly to your device. It removes watermarks and supports a wide range of video sources. Why I built it: There are plenty of sites that can help with downloading videos from TikTok, but many of these websites are cluttered with banners and ads, making them slow and cumbersome to use. I wanted to create a tool that offers a seamless, ad-free experience. Paste2Download is designed to be super clean and fast, providing a hassle-free way to download videos. Feedback: I’d love to get your feedback! Let me know what you think, any suggestions, or if you encounter any issues.

Visit product View on Hacker NewsJun 16, 2024

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Actual performance

62points

40comments

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

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: new · Missing: mac, agents, macos

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

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

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

54%54% 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: video, way · Missing: mobile apps, ios, personal

38%38% 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

15%15% 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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