This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
cctvQL is an open source conversational query layer for CCTV systems. Ask questions like "Were there any people at the front door last night?" and get real answers from Frigate, Hikvision, Synology, Dahua, ONVIF cameras, and more. Works with local LLMs (Ollama) or cloud (OpenAI, Claude). Integrates with Home Assistant and ioBroker. Supports face recognition, push notifications, and multi-camera setups. 100% open source, self-hosted, privacy-first.
Hi Product Hunt! I built cctvQL because I got tired of scrubbing through hours of CCTV footage to find out if something happened. I wanted to just ask "Was there anyone at the gate after 10pm?" and get an answer.
cctvQL sits between your cameras (Frigate, Hikvision, Synology, ONVIF, and more) and any LLM, local or cloud. It exposes a simple API so you can query events in plain English from Home Assistant automations, ioBroker scripts, or your own apps.
Fully self-hosted and privacy-first. Your footage never leaves your network unless you choose a cloud LLM. Happy to answer any questions!
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About cctvQL on Product Hunt
“Ask your cameras anything in plain English”
cctvQL was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #159 on the daily leaderboard. cctvQL is an open source conversational query layer for CCTV systems. Ask questions like "Were there any people at the front door last night?" and get real answers from Frigate, Hikvision, Synology, Dahua, ONVIF cameras, and more. Works with local LLMs (Ollama) or cloud (OpenAI, Claude). Integrates with Home Assistant and ioBroker. Supports face recognition, push notifications, and multi-camera setups. 100% open source, self-hosted, privacy-first.
cctvQL was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers), GitHub (41.4k followers) and Home Automation (8k followers) on Product Hunt. Together, these topics include over 219.8k products, making this a competitive space to launch in.
Who hunted cctvQL?
cctvQL was hunted by Arun Rajiah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Arun Rajiah