LinkIntel
AI-Powered LinkedIn analytics dashboard for company pages
LinkIntel launched on August 18, 2025 with 24 votes, #598 of 8,530 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Upload your LinkedIn analytics exports and discover powerful insights that LinkedIn’s native analytics don’t show you. Get full control of your data with competitor benchmarking, content performance tracking, and audience insights—all in one dashboard.
Connect your personal LinkedIn profile, import posts from Typefully or LinkedIn, and let your AI assistant analyse real read-only performance data through MCP.
Connect your LinkedIn post analytics to the AI assistant you already use. See what performed, compare results, and use what’s working to guide your next draft. You asked: Which of my posts performed best? Tool call: get_top_posts · by impressions LinkIntel answered: Depends what you mean by best. The post about reviewing 200+ DevRel CVs got the most reach: 9,498 impressions at 0.22% engagement. Your satirical job ad reached 7,498 at 0.92%, so 21% fewer people and roughly four times the response. You asked: How does last month compare with the one before? Tool call: compare_periods · 30d vs previous 30d LinkIntel answered: 20,806 impressions, down 73%. Engagement went the other way: 0.78% to…from getlinkintel.com
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Source: Product Hunt launch ↗
Launched alongside, August 2025
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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…
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Life & fun · 2025 · visualrambling.space

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