I trained a neural network to write scam emails
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset. - davidsvy/Neural-Scam-Artist
I trained a neural network to write scam emails launched on October 18, 2021 with 6 votes, #1,464 of 2,933 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.
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- HAHackYourNews – AI summaries of the top HN stories2023 · hackyournews.com · ▲335
Hey there HN! I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!) HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different. While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This…
- IMI made a scam detector and build a public database for it2024 · antiphish.ai · ▲8
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…
- IBI built a tool that helps predict HN front page successMay 2026 · wannalaunch.com · ▲26
Hey HN community, I built a tool that helps optimize your post for hitting the first page of Show HN. How it works: I used a Hugging Face dataset of all Hacker News posts from the past 3 years and trained a model that predicts how successful your post might be. There's still a lot of randomness on HN, so nothing is guaranteed, but the tool helps optimize your post for higher odds. A couple of interesting findings: - GitHub repo links work x3 better than regular domains - Open-source tools have a steady virality rate (13.9% - one of the highest) - "I built" outperforms "We built" - Using…
I built a 55K-word email marketing knowledge base and Claude Code skillFeb 2026 · emailmarketingskill.com · ▲10I co-founded SmartrMail (email marketing SaaS, 12K ecommerce customers, acquired 2022). When I left, I no longer had access to the sending data I'd spent years learning from, billions of sent emails, deliverability patterns, things that actually move email engagement Cos' I don't have this data anymore, I built the best thing I could to help with the email marketing I currently do: --- my research process Multiple sprints across all major email marketing topics. The crawler pulled 908 sources: Litmus, Klaviyo, HubSpot, Campaign Monitor, and Salesforce annual reports; practitioner blogs;…

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