Alternatives
Products that do what I built a site that maps the web from a bounty hunter's perspective does
I built this because I wanted my own directory of public companies running bug bounty programs — where I could see their infrastructure in one place and have a real idea of where to start poking holes. Neobotnet collects intel data from companies on HackerOne and Bugcrowd — subdomains, DNS records, web servers with status codes, indexed/crawled URLs, JS files, and exposed secrets/paths (still building this last part). The data is already there when you need it. No scans to run. Currently tracking 41 companies, 63,878 web servers, and 1.8M+ URLs. Long term I want to expand this to…
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Sup HN, So I got tired of bouncing between Flightradar, MarineTraffic, and Twitter every time something kicked off globally, so I wrote a dashboard to aggregate it all locally. It’s called Shadowbroker. I’ll admit I leaned way too hard into the "movie hacker" aesthetic for the UI, but the actual pipeline underneath is real. It pulls commercial/military ADS-B, the AIS WebSocket stream (about 25,000+ ships), N2YO satellite telemetry, and GDELT conflict data into a single MapLibre instance. Getting this to run without melting my browser was the hardest part. I'm running this on a laptop…
Mar 2026 · github.com
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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We've been trying to evaluate web scraping companies, but when you look at their benchmarks, you can't verify anything, and they mostly exist to prove the company is successful. They put somewhere between 98% and 100% because they pick their own urls, define success their own way, and don't publish the harness. We also saw companies like scrapfly astroturf websites like scrapeway and call them independent. So, we built an open source benchmark that we want to represent the frontier of web data. We're trying to look across all major anti-bot providers and industries, to build a comprehensive…
Jul 2026 · github.com
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A turning point on AI agents in Cybersecurity, shown in two recent research papers from UC Berkeley and Stanford: CyberGym: AI agents discovered 15 zero-days in major open-source software BountyBench: AI agents solved real-world bug bounty tasks worth tens of thousands of dollars This represents a pivotal shift in cybersecurity — AI agents can now autonomously do what only elite human hackers could before. Check out their work: CyberGym: https://www.cybergym.io/ BountyBench: https://bountybench.github.io/
2025 · twitter.com
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2011 · bugherd.com
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Hello Hacker News! We're a team of YC founders (Meldium W13, Draft S11, TapEngage S11) launching something new (https://www.getcensus.com). How many times has your business team asked you to generate yet another CSV file, write a ”quick report” in SQL, or send some custom data to a terrible API (looking at you Marketo)? We’ve built a product that connects directly to your data warehouse and syncs into apps like Salesforce, Customer.io and even Google Sheets. In fact, your business teams won’t even need to rely on engineering to manage all these pipelines. The tech stack for…
2020
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2018 · justi.cz
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I built HackerBuddy.com with the idea of helping the Hacker News community get one-on-one help with fellow hackers that know their stuff. It matches up people that are good at a particular skill (Ruby on Rails, Python, beta-testing, general startup advice etc) with people that need that specialist help. All it does is swap your email address so that hackers can give fellow hackers one-on-one advice. I built the site as a way to learn Ruby on Rails, I'm still a bit green when it comes to coding so there's a very good chance that the server will fall over. Any feedback you guys have would be…
2011
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I spent last 6 months trying to build Simple Ops [1] to democratize website performance monitoring so anyone can use it. A year back, while I was trying to measure performance for Visa List as it became a huge content website with more than 100K pages. Also as data is changing very frequently, it's very hard to keep doing this manually. I searched on google and found that all the solutions are just uptime monitoring and nothing and none of them truly measure performance. So I decided to build one for myself. But it turns out website performance monitoring is not so simple after all and with…
2020
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hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…
2024 · langbase.com
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I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
Jul 2026 · laurentiugabriel.github.io
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At Metabase, we built an AI agent called Repro-Bot that reads our GitHub issues and attempts to reproduce reported bugs automatically. It started as a hackathon project and is now part of our daily workflow, so we wrote about it and open-sourced the code as an example for others. How have similar tools been working for you? What has worked well and what has not?
Apr 2026 · metabase.com
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website: dashboard.io I've been thinking about this idea for a while now and finally got around to building the prototype this weekend. The idea is that you'd drop my JS snippet on your site and I'd start building the "AARRR" table (which I'm actually building this week but imagine slide 4: http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version). Basically, the system will build that table out for you and then show you how your startup stacks up against others in your space. To be clear, I'll never share your data with anyone. So, if you're a "hosting" company, I'd…
2011
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hey all, happy to share research i've been working on for islo.dev in recent months. ever since the cheating agents (https://debugml.github.io/cheating-agents/) paper came out, revealing reward hacking was 4x more prevalent than previously estimated, i've been looking into how we can deal with the issue the common approach (taken by the tbench team) is post hoc trajectory analysis. i've been interested in the idea of reframing the problem as an endpoint security problem and tackling it via sandbox i hope you find it interesting, and thanks to the islo.dev team for…
Jun 2026 · github.com
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Crawlspace is a centralized web crawling platform that benefits crawler developers AND website owners. Developers can affordably crawl tens of millions of pages per month, scrape with LLMs, and save data in attached storage. Website owners are shielded by a platform-wide TTL cache that absorbs redundant bot traffic. AI bots are running rampant on the open web. Many recent HN stories[1][2][3][4] describe how web crawlers have run amok and hammer websites with DDoS-like traffic. They often do this with blatant disregard of website owners' wishes (e.g. ignoring robots.txt, 429s, Retry-After…
2025 · crawlspace.dev
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Ryd.io As a capstone project for Galvanize's data science immersive I took another look at the NYC Taxi data set. A ton of analysis has been done on individual rides/cars and I was curious about what story would be told by looking at this data through the aggregate. Through the clustered map you can identify different 'personalities' of the city with a birds eye view. Check it out here http://ryd.io/cluster_map I've just spent past couple weeks working hard on this project and would love to talk to anyone about it if they are interested. After the conclusion of the…
2015
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Hi HN, I’ve been working on Spiderseek, a platform to help track and grow website visibility in AI-powered search engines (e.g. Perplexity, ChatGPT, and other agents). Traditional SEO tools are expensive and focused on Google-style search. I wanted something lightweight and AI-first, so I built Spiderseek: AI Research – Explore domains and keywords to uncover new opportunities. AI Analytics – See traffic, crawl activity, and page metrics, plus insights from AI agents. Content Submission – Get content indexed instantly in major AI agents. Rankings – Browse the top 1000 domains sorted by…
Sep 2025 · spiderseek.com
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Free open-source web scanner with an AI fix advisor
Jul 2026 · bugbounty-arsenal.net
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We think this is helpful because scams are getting more out of hand than ever, so we wanted to build a tool that can help people to identify scams instantly and ALSO creates a large dataset to "train" everyone's brain on scam detection patterns. After browsing 10-20 scams, anyone can quickly learn what indicators to look for in subtle (or not so subtle) scams. 1. Upload screenshot of anything you think is suspicious 2. GPT-vision goes to work, extract text and analyze the screentho and give you an instant result 3. Each upload adds to a growing public database, letting everyone to see and…
2024 · antiphish.ai
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Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app
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