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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Navi
Self correcting agent - Web scraping, data analysis, charts
Navi is an AI agent that analyzes datasets, performs calculations, scrapes live web data, and generates charts autonomously. It writes its own Python skills, catches its own errors, and corrects them automatically. Privacy-first: no user data stored.
The core idea: Navi OS is infrastructure. It runs a full planning → ethics gate → skill creation → execution → memory loop on every request. When it makes a mistake it diagnoses and fixes it automatically.
What it can do right now: • Analyze 500k+ row datasets from a single prompt • Scrape live web data (tested on CoinMarketCap, Hacker News, financial sites) • Generate dark-themed charts and structured BI reports • Block malicious requests at the infrastructure level before any code runs • Remember past tasks via vector memory and reuse successful approaches
Agents that can execute arbitrary code need guardrails that aren't just policies — they need to be architectural. Navi's ethics gate runs before any skill executes.
3 free queries to try it. The test prompts in the sidebar demonstrate it best — particularly the live crypto scrape and the 541k row retail intelligence report.
“Self correcting agent - Web scraping, data analysis, charts”
Navi was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #121 on the daily leaderboard. Navi is an AI agent that analyzes datasets, performs calculations, scrapes live web data, and generates charts autonomously. It writes its own Python skills, catches its own errors, and corrects them automatically. Privacy-first: no user data stored.
On the analytics side, Navi competes within Productivity, Developer Tools and Data Science — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Navi performed against the three products that launched closest to it on the same day.
Who hunted Navi?
Navi was hunted by Jordan Wright. 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.
For a complete overview of Navi including community comment highlights and product details, visit the product overview.
Jordan Wright
The core idea: Navi OS is infrastructure. It runs a full planning → ethics gate → skill creation → execution → memory loop on every request. When it makes a mistake it diagnoses and fixes it automatically.
What it can do right now:
• Analyze 500k+ row datasets from a single prompt
• Scrape live web data (tested on CoinMarketCap, Hacker News, financial sites)
• Generate dark-themed charts and structured BI reports
• Block malicious requests at the infrastructure level before any code runs
• Remember past tasks via vector memory and reuse successful approaches
Agents that can execute arbitrary code need guardrails that aren't just policies — they need to be architectural. Navi's ethics gate runs before any skill executes.
3 free queries to try it. The test prompts in the sidebar demonstrate it best — particularly the live crypto scrape and the 541k row retail intelligence report.
https://bi-agent-v2.vercel.app