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4,145 ideas

How to escalate a rejected Google extension?

I submit an extension (an adblocker) to Google Chrome's web store.Google keeps rejecting it for dubious reasons. The first rejection was claim it was "spam". When I appealed, the review came back that it contained "additional functionality" because it uses "modifies network traffic". Well of course it does! When I asked the reviewer how I could achieve the stated functionality of blocking ads without the use of "declarativeNetRequest" I simply received the same canned response.I submit a totally new update that simplified the code and included comments, and references to other open source projecs that use the exact same mechanisms. Again it was rejected. On this appeal I asked if it could be escalated to a senior reviewer who could possibly reply with more context. Same canned response and rejection.I can't help but think Google has some internal policy to give adblockers a runaround. It is obvious to me the stated rejections are not valid (Note that I'm also not new to this - I have several extensions that have been published for years with thousands of users) but have never encountered such gate-keeping before.It's a sad state of affairs even if not totally unpredictable. To be honest I'm surprised Google hasn't made it an official policy to prohibit adblockers. But they haven't - obviously there are other adblockers published to the store, and that's what makes this so frustrating.Anyway, fellow developers. Anyone run into a similar situation? And how did you resolve it? Thanks!

Hacker News3mo agoToolAI

25FL score
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Transload (YC P26) – Measuring freight items with CCTV

Hi HN — we’re Julius, Jago, and Nils, and we’re building transload (transload.io).transload helps LTL trucking companies measure freight dimensions using the security cameras already installed in their terminals. Instead of sending shipments through a dedicated dimensioning station, we measure them automatically as they move through the normal dock workflow.We’ve put together a small HN-specific demo site here: https://hn.transload.io/In LTL trucking, dimensions matter because they affect pricing, freight classification, and trailer utilization. If a shipment is larger than the shipper reported, the carrier may undercharge for it while still giving up the same amount of trailer space. The obvious fix is to measure every shipment, but that is surprisingly hard in a busy freight terminal. Dedicated dimensioning systems work for freight that passes through them, but they can add forklift travel, create dock congestion, and change the normal flow of work. In practice, many terminals only measure a sample of their shipments.Jago grew up close to this industry through his family’s LTL trucking and cross-docking business. We did not start out building freight dimensioning. Our first idea was an AI system for optimizing forklift routes inside cross-dock terminals. After spending time with customers and talking to more than 50 trucking companies, we realized that forklift routing was not the pain people kept bringing up. Freight dimensions were.At the same time, we saw that spatial AI was advancing quickly. Monocular metric depth estimation has become dramatically better, making it possible to recover accurate 3D structure from ordinary camera footage without expensive LiDAR sensors. MapAnything (https://github.com/facebookresearch/map-anything) and MoGe (https://github.com/microsoft/moge) are two examples.Freight terminals also have helpful structure: fixed cameras, repeated workflows, barcode scan timestamps, and known

Hacker News3mo agoToolAI

72FL score
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