AdGusto

What it does

AdGusto helps marketers and agencies analyze competitor ad strategies faster by integrating directly with the Meta Ads Library. Instead of manually scrolling through competitor pages, AdGusto centralizes creative tracking, ad monitoring, and competitive analysis in one place — helping you spot trends, save winning creatives, and make faster decisions on your own campaigns.

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  Visto2020 · ▲139

  Ad intelligence tool to uncover competitor’s ads strategy

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  Competitors App2019 · ▲351

  Know your competitors' moves in 5 minutes/week.

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  Competitor Ad Tracker2025 · ▲57

  See competitor's active ads using Chrome

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  Adzooma2019 · ▲185

  Automate, manage & optimise your advertising in less time

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  Ads ResearchJan 2026 · ▲51

  Competitor ads, instantly on WhatsApp

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  Adtuo2021 · ▲176

  Optimize Google and Facebook Ads collaboratively

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  AstraPixels▲267

  ​​A pixel-art solar system at its real current positions.​

  Growth · 29d ago · astrapixels.com

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  WorldMap.lol▲197

  Put your startup on the map. Literally.

  Growth · 13d ago · worldmap.lol

• TL
  The load-bearing vocabulary of Claude▲703

  Life & fun · 10d ago · louisabraham.github.io

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  Hey Noah▲641

  A proactive AI executive assistant for founders

  AI · Aug 2026 · heynoah.io

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  Clipto MCP▲640

  Let agents source clips from terabytes of your local video

  Work · 18d ago · clipto.com

• SA
  Simple algorithm and color space to generate diverse skin tones▲627

  Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

  Life & fun · Aug 2026 · toneyalexander.github.io

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  AdAnt AI▲608

  Claude for viral, high-converting social ads

  AI · Aug 2026

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

  AI · 16d ago · simedw.com