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Dokpod
ave 90% AI tokens by indexing your docs once for Cursor.
Hey Product Hunt! 👋
I'm the creator of Dokpod, and I'm super excited to share it with you all today!
If you use AI editors like Cursor, Claude Code, or Copilot daily, you know the pain: you keep re-uploading the same heavy PDFs, API specs, screenshots, or codebases into your chat session after session. It eats up your context window, burns through your tokens, and slows everything down.
I wanted a better way to give my AI memory. That’s why I built Dokpod.
Dokpod is a private vault that lets you upload your documentation once and query it forever. It acts as an MCP server that hooks directly into your favorite AI editor in about 30 seconds.
Here is what makes Dokpod special:
Upload Anything Once: Drop in PDFs, Word docs, spreadsheets, screenshots, or even demo videos. We read and index it all.
Smart MCP Search: When you ask Cursor a question, Dokpod pulls only the exact relevant sections (~3.5K tokens) instead of a massive 50-page document.
Token Savings: Say goodbye to bloated chats and wasted context windows.
Integrations: Easily pull web pages, YouTube transcripts, or sync up with Google Drive and GitHub.
We built this specifically for developers who want to move fast without micromanaging their AI context.
I’d love for you to check out our 3-day free trial, try connecting it to Cursor, and let me know what you think! I’ll be here all day to answer your questions, take feature requests, and chat.
Thank you so much for the support! 🙏
The 80-97% token reduction claim caught my eye, that's a real engineering flex not just marketing fluff. MCP integration done right like this makes the tool actually useful instead of another walled garden.
ok this token saving thing actually showed up clearly in my MCP queries, like way less back and forth. uploading a few specs worked smoothly too
The token savings look solid, but a built-in way to flag or quarantine hallucinated answers would be huge. Even a simple "this chunk didn't contain enough context" warning when confidence is low would help builders trust the vault instead of double-checking every response manually.
Would love to see a way to schedule automatic re-syncs from connected sources like Notion or GitHub so the vault stays fresh without manual uploads.
Finally a way to stop pasting the same docs into every tool. I tested it on a messy API spec and the MCP search pulled exactly the right endpoint, way less context than my old setup.
A doc vault only really shines if my team can trust it, so adding version diffs would be huge. When specs change, let me see what shifted between the old doc and the new one, and which AI answers now point at outdated sections. That would save a lot of "wait, is this still current?" moments.
About Dokpod on Product Hunt
“ave 90% AI tokens by indexing your docs once for Cursor.”
Dokpod was submitted on Product Hunt and earned 13 upvotes and 7 comments, placing #116 on the daily leaderboard. Dokpod is your AI knowledge vault for builders. Upload specs and docs once, search via MCP with 80 to 97% fewer tokens.
Dokpod was featured in User Experience (366.9k followers), Developer Tools (516.2k followers), Artificial Intelligence (474.3k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 243.2k products, making this a competitive space to launch in.
Who hunted Dokpod?
Dokpod was hunted by Zayn Zahir. 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.
Want to see how Dokpod stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zayn Zahir