EndorseHQ.com
Collect & showcase testimonials — without the Trustpilot tax
EndorseHQ.com launched on August 7, 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
Collect, manage & showcase testimonials — no bloat, no ads, no hostage fees. Embed anywhere, export social images, and control your reviews. Perfect for SaaS, agencies & indie tools. Free plan available. $19/month for pro. Own your feedback.
Stop silent exits. Move your reviews to the sales frontline with logic-driven widgets that kill buyer doubt and turn your reputation into a revenue engine.
EndorseHQ moves your reputation out of passive galleries and into your sales funnel — to erase buyer doubt, shorten sales cycles, and grow your revenue. We give you total ownership of your endorsements and make them work across your entire sales journey. Your hard-earned praise sits on someone else's platform, sandwiched between ads for the people you're trying to win against. Most businesses hide endorsements on a single "testimonials" page that 90% of prospects never visit. You don't own the format, the placement, or the audience. The platform does. EndorseHQ gives you all three back. Consolidate what you've already earned. Deploy it where it changes minds. Then weaponise it across every…from endorsehq.com
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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 · 12d 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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