Every week, hundreds of new AI tools launch. Most of them are wrappers around the same APIs with a fresh coat of paint. A handful are genuinely interesting. And a few will become tools you use every day.
The question is: how do you find those few without wading through the noise?
That's the problem Goldmine was built to solve. Instead of relying on someone's curated list or a tech blog's sponsored picks, we monitor six platforms where real developers and builders spend their time — and we track what's actually gaining traction across all of them.
Here's what each platform tells us and why it matters.
1. GitHub — The builder's signal
GitHub is where developers put their actual work. When a repo starts gaining stars rapidly, that's not marketing — that's real people looking at the code and deciding it's worth bookmarking.
What we track: Star velocity (how fast stars are growing, not just total count), fork count (people building on it), trending status, and repository activity (commits, issues, PRs).
Why it matters: A tool that's trending on GitHub has passed the first credibility test — real developers have examined the code and found it worth their time. This is the highest-signal platform in our pipeline.
What it misses: Not every great tool is open source. Commercial products with closed repos won't show up here. That's why GitHub is one of six signals, not the only one.
2. Hacker News — The taste filter
Hacker News has the most critical audience in tech. If something hits the front page of HN and stays there, it has survived a gauntlet of skeptics, nitpickers, and domain experts.
What we track: Upvotes, comment count, time on front page, and comment sentiment (are people excited or tearing it apart?).
Why it matters: HN readers are disproportionately early adopters and technical founders. High engagement here often predicts which tools will show up in production codebases six months later.
What it misses: HN has strong biases — it tends to favor developer tools and infrastructure over consumer products. A brilliant design tool might never get traction there.
3. Product Hunt — The launch signal
Product Hunt is where builders go to announce things. It's the closest thing to an opening bell for new products.
What we track: Launch upvotes, daily ranking, maker engagement in comments, and whether the product has shipped a working demo or just a landing page.
Why it matters: A strong Product Hunt launch means the builder invested in a real launch strategy and the community responded. It's particularly valuable for catching non-open-source tools that wouldn't show up on GitHub.
What it misses: Product Hunt can be gamed with coordinated upvoting. A tool with 500 upvotes and zero comments is suspicious. That's why we cross-reference with the other five platforms.
4. Reddit — The honest reaction
Reddit is where people talk about tools when they think the maker isn't listening. Subreddits like r/MachineLearning, r/LocalLLaMA, r/artificial, and r/SideProject are goldmines (pun intended) for candid takes on new tools.
What we track: Post upvotes, comment volume, cross-posting between subreddits, and whether people are sharing their actual experiences versus just reposting the launch announcement.
Why it matters: Reddit catches the tools that are genuinely useful in practice, not just impressive in demos. When someone posts "I replaced X with this new tool and it actually works," that's a strong signal.
What it misses: Reddit skews toward hobbyists and enthusiasts. Enterprise tools rarely get Reddit buzz even when they're transformative.
5. arXiv — The research signal
arXiv is where academic papers get published before peer review. It's the bleeding edge — this is where the techniques behind tomorrow's tools get described for the first time.
What we track: Paper citations, GitHub repos linked from papers (the "code available" signal), Hugging Face model releases tied to papers, and cross-references with tools appearing on other platforms.
Why it matters: Many of the most important AI tools started as research papers. Stable Diffusion, LoRA, RAG itself — all had arXiv papers before they had products. Tracking arXiv gives us a preview of what's coming.
What it misses: Most arXiv papers never become usable tools. The signal is noisy and requires cross-referencing to be useful — which is exactly what Goldmine does.
6. Dev.to — The practitioner's take
Dev.to is a community blogging platform where developers write tutorials, reviews, and deep dives. When someone writes a 2,000-word walkthrough of a tool they actually used, that's qualitatively different from a tweet.
What we track: Post reactions, comment engagement, and whether the content is a genuine review/tutorial versus a thinly veiled product announcement.
Why it matters: Dev.to posts tend to come from people who've actually used the tool in a real project. A detailed integration guide means the tool is mature enough to be practical, not just theoretically interesting.
What it misses: Dev.to is smaller than the other platforms. The signal is valuable but lower volume.
Why cross-platform matters
Any single platform can be misleading. A tool can trend on Product Hunt through coordinated upvoting. A GitHub repo can get starred by bots. A Reddit post can go viral for the wrong reasons.
But when a tool shows up on multiple platforms simultaneously — that's the "Cross-Buzz" signal, and it's one of the strongest indicators we've found. A tool that's trending on GitHub, getting discussed on Hacker News, and receiving genuine reviews on Dev.to has passed three independent filters.
No single platform tells the whole truth. The intersection of all six is where the real signal lives.
That intersection is what the Goldmine Hype Index calculates. Each platform contributes its score, weighted by how reliable that signal tends to be, and the composite tells you whether a tool has genuine momentum or just a good marketing team.
See it in action
Every Friday, The Shovel newsletter delivers the top-scoring tools from the past week — free. If you want the full database with daily updates, Pickaxe lets you search, filter, and explore all 3,800+ tools we're tracking.