Product Hunt – The best new products in tech.

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•25d ago

Built a free AI tool that generates vintage item listings in 15s (Etsy/eBay/Poshmark)

... Product Hunt community! As an indie developer, I noticed how exhausting it is for cross-border and vintage sellers to manually draft titles, SEO tags, and material attributes for every single unique item. So I built VintageLister AI as a quick MVP to solve this exact pain point! What it does: 1. Upload a photo of your vintage item (clothing, bags, decor, etc.) 2. AI Vision instantly pre-fills attributes

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p/rankfender

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•1mo ago

Backlinks aren't dead. They just changed. Here's how they still work for SEO and GEO in 2026.

... tier domains collect dozens. Brand mentions now rival raw links. Brand search volume was the strongest single predictor of LLM citations. Nofollow links perform almost like follow links in AI surfaces AI systems do not honor the nofollow attribute the way classic PageRank logic assumes. Listicle placements and brand mentions are among the most valuable backlinks for both SEO and AI visibility . Pages that already get pulled into AI search now do more heavy lifting than a pile of plain ... ... look good on a report. 2. Lost link tracking with impact scoring. When a link drops, you see it immediately. More importantly, you see what it cost you in visibility not just in rankings, but in AI citations. 3. Competitor

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p/rankfender

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•2mo ago

Backlinks aren't dead. They just changed.

... building is mostly wasted budget . Brand mentions now rival raw links. Brand search volume was the strongest single predictor of LLM citations at 0.334, and nofollow links perform almost like follow links . AI surfaces do not honor the nofollow attribute the way classic PageRank logic assumes. What this means for your strategy: Stop chasing DA alone. Relevance and real readership matter more than the score . A relevant link from a site people actually read still lifts rankings and sends qualified ... ... traffic. Focus on earning editorial mentions on pages that already rank, get traffic, and actually influence both search results and AI-generated answers . Listicle placements on industry publications "best tools," "top X," "alternatives

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p/self-promotion

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•2mo ago

What are you building? Drop your AI product below

... between what people say and how they say it is where the real signal lives. The "hidden between the words" framing is spot on. How well does it handle text-based async interviews vs live voice? That's where I'd be most skeptical but also most excited. Comment from Nolan Vu(@nolan_vu): @dharan_tej_reddy Respect for taking this on solo at 22, that's not a small bet to make ... ... just refreshing analytics like something's gonna magically change lol Comment from Nolan Vu(@nolan_vu): @samuelcrotti Real pain point, props for tackling it head on. Ran a small Shopify store for a bit and the ad spend vs

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•3mo ago

SiteRows example #4

... objects box is to give it a SQL-like look and feel, and here is how it's structured: When you expand "DOM" and further expand any element like @a or @div, you get two items: "Scraper Fields" and "Attributes". Under "Attributes

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p/self-promotion

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•3mo ago

I built a Vite plugin that saves CSS changes directly to your source files

... Case 2 <style> tag. SCSS, CSS Modules, Vue scoped Vite compiles them and injects them as <style> tags in <head>. These have href = null. But Vite adds a data-vite-dev-id attribute with the absolute path to the source: <style type="text/css" data-vite-dev-id="/home/user/project/src/styles.scss"> .card { background: #1a1a2e; } </style> The overlay reads this attribute

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p/lineage-lens

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•3mo ago

Added a custom agent to LineageLens in one afternoon

... been working with LineageLens and just added a custom agent adapter so our internal CLI tool is attributed with prompts, model metadata, and confidence evidence. The registry design makes this surprisingly low-friction: implement a detect(input) that returns a NormalizedAgentContext (tool name, model, session ids, confidence, and evidence), register the adapter, then run the quickstart proxy to validate captures. Why this matters : your team can capture private or bespoke tools without sending data to a vendor ... ... from Henry Lindsey(@henry_lindsey): i like the idea of detection should be conservative False positives in provenance systems can destroy trust very quickly. Comment from Praveen(@praveen62): @henry_lindsey Completely agree. A provenance system can tolerate missing attribution

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•4mo ago

File Meta Organizer - Organizing media files

... Want to create tag and attribute driven playlists? I built a file meta organizer program for organizing images, music, and video and creating playlists. It works by saving tags and attributes

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•4mo ago

Reverse-engineer Shopify pricing, SEO, and margins with real data.

... Product Hunters, Most e-commerce spy tools on the market stop at the surface. They show you which ads a competitor is running or estimate their monthly traffic. They tell you what your competitors

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p/rankfender

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•6mo ago

SaaS Founders: Your Brand Is Probably Wrong in ChatGPT. Here's the Fix.

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

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p/producthunt

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Featured•6mo ago

Case Study: how Product Hunt can improve AI visibility in 2026

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

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•1yr ago

Launched Backsy — AI-powered feedback scoring from plain-text comments (no forms!)

... detailed surveys or forms with sliders and ratings, you can now just share a link. People write whatever they want in plain text (or even speak it), and Backsy uses AI to analyze it assigning scores to predefined product attributes like UX, Pricing, Features, etc. You also get new attribute

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