Save Bulk Gmail Attachments
Save 50+ Gmail Attachments to GDrive or ZIP. One Click.
Save Bulk Gmail Attachments launched on August 6, 2025 with 2 votes. The site was still online in September 2026, 1 year on.
What it does
Cut 50+ clicks a day. Bulk-download as ZIP or GDrive-save every Gmail attachment with one secure Chrome extension. Try it free.
Save Gmail attachments to Google Drive in one click. Free Chrome extension to bulk-download all attachments from multiple emails — no credit card required.
The Gmail attachment downloader for bookkeepers, accountants, recruiters, and ops pros drowning in client email. Get every attachment — complete, filed into the right Drive folder, in one click — from a read-only tool that can't send, reply, or delete. Straight into the right Drive folder — no save-dialog per file, no duplicates. It can't send, reply, or delete — and your attachments never pass through our servers. You'll be taken to the Chrome Web Store. Install takes 30 seconds. You'll be taken to the Chrome Web Store. Install takes 30 seconds. Choose emails with attachments in Gmail. Select one or hundreds—it's up to you. One click on our extension button saves all attachments from…from savebulkgmailattachments.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 · 13d 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