StampMyVid
Free youtube timestamp generator
StampMyVid launched on August 9, 2025 with 8 votes, #2,487 of 8,530 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Easily convert YouTube transcripts into clickable timestamps. Perfect for creators, coaches, and course makers. Free and fast.
Turn YouTube transcripts into clickable chapters in seconds. Free for creators and educators — boost watch time, navigation and SEO. No software needed.
Paste your transcript, get clickable YouTube chapters in seconds. Free to use — no software needed. Need unlimited generations? Upgrade to Premium (£5 one-time) → A fast, simple tool that takes any YouTube transcript and adds clean, accurate timestamps in seconds. Create a free account and generate up to 3 timestamps every month — no payment needed. StampMyVid is a lightweight online tool that helps you turn plain YouTube transcripts into properly timestamped text. Just paste your transcript, choose your interval, and click generate. Watch your video and note down the key moments with their timestamps — or paste your existing transcript directly. Paste your transcript or notes into…from stampmyvid.com
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More growth this month
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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 11d ago · wallhop.io
Source: Product Hunt launch ↗
Launched alongside, August 2025
the whole month →
I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
AI · 2025 · github.com
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Life & fun · 2025 · visualrambling.space
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Dev tools · 2025 · sky.dlazaro.ca