Full-Text RSS Proxy for Paywalled Publications

P6/10March 22, 2026
WhatA service that negotiates paywall access on behalf of subscribers and delivers full articles via clean RSS feeds, stripping bloat and ads.
SignalUsers are trying to return to RSS as an escape from algorithmic feeds but are blocked because publishers have gutted their RSS outputs to truncated summaries, forcing readers back onto bloated, ad-heavy websites — even paying subscribers can't get clean full-text feeds.
Why NowThe backlash against algorithmic social media has hit a tipping point, with power users actively migrating back to RSS, while publisher web pages have become so bloated (37MB+ per article, 500MB of ads in 5 minutes) that the reading experience is genuinely broken.
MarketPower users and knowledge workers willing to pay $10-20/mo; TAM is the intersection of RSS users (~10M globally) and paid news subscribers; competitors like Feedbin offer basic full-text extraction but none solve authenticated paywall delivery at scale.
MoatPublisher integration partnerships and authenticated feed infrastructure create high switching costs once users route their subscriptions through the platform.
PC Gamer recommends RSS readers in a 37mb article that just keeps downloading View discussion ↗ · Article ↗ · 693 pts · March 22, 2026

More ideas from March 22, 2026

SSD-Optimized Local LLM Inference EngineP7/10A commercial inference runtime that lets developers and power users run 300B+ parameter models on consumer hardware by streaming sparse MoE weights from SSD through optimized GPU compute pipelines.
Multi-SSD Inference Appliance for Personal AI LabsC6/10A purpose-built hardware+software appliance that stripes MoE model weights across multiple NVMe SSDs (or Intel Optane) to achieve 30-50 tokens/second on giant models without expensive GPU memory.
Mobile GPU LLM Inference OptimizerC5/10An inference SDK that brings MoE expert-streaming techniques to mobile GPUs (Adreno, Mali, Apple A-series), enabling usable on-device inference of large models on phones and tablets.
SSD Wear-Aware AI Workload ManagerC5/10A system utility that monitors and intelligently manages SSD wear from AI inference workloads, implementing caching strategies, wear leveling across drives, and lifetime predictions specific to LLM usage patterns.
Offline-First Personal Knowledge Server with Local AIP5/10A plug-and-play appliance that packages curated knowledge bases (Wikipedia, maps, tutorials, medical references) with a local LLM for natural-language querying, designed to work entirely without internet.
Turnkey Offline Knowledge Kit for Old DevicesC5/10A lightweight app that packages Wikipedia, OpenStreetMap, survival guides, and tutorial videos into a single installable bundle optimized for old Android tablets and low-end hardware.