BounceGuard
Bounce Guard: Free Email Verification & Finder, 99% Accurate
BounceGuard launched on August 24, 2025 with 12 votes, #1,214 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Bounce Guard delivers free email verification, bulk email validation, and email finder services with 99% accuracy. Our secure, no-contract platform ensures clean lists, reduces bounce rates, and boosts deliverability.
BounceGuard is an all-in-one email platform: verify emails in real-time, clean bulk lists, and send campaigns using your own provider — Gmail, Salesforce, SendGrid, and more. Free plan available.
BounceGuard verifies emails in real-time, cleans bulk lists, and lets you send campaigns using your own provider — Gmail, Salesforce, SendGrid, and more. No signup needed. Enter any email and see results instantly. Verify emails before you send — then send them. No switching between tools. Verify the domain has valid mail exchange records before sending. Confirm the mailbox actually exists on the mail server in real-time. Identify and filter known spam traps to protect your sender score. Upload your list and download clean results — Valid, Invalid, Catch-all labeled. Integrate email verification directly into your app or CRM workflow. Upload your Apollo.io CSV (or any CSV with name,…from bounceguard.net
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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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