The graveyard of good ideas
Solutions that were tried, and what stopped them.
Patents that were rejected or abandoned, products that shut down, projects that went quiet. Borrow the idea, avoid the dead end.
1,900 solutions
- startupShut down2026
Alan Kay: Shannon gave us a way of dealing with noisy channels [video]
The following explanation is taken from https://news.ycombinator.com/item?id=49622607 : Alan Kay performs an improvisational avant garde layered audio feedback loop about Claude Shannon, live online during Kristen Nygaard's 100-year birthday celebration. Alan was scheduled to talk about how encountering Simula sparked his early thoughts about objects. During setup, somebody had the live stream playing out loud near an open Zoom mic, so his own voice kept arriving back in his ears about 21 seconds late, over and over. What he said was not random: "Shannon gave us a way of dealing with noisy channels." And: "I think about that almost every day. I realize what the fuck is going on and it's just so amazing." Shannon's noisy channel coding theorem is the math for exactly the kind of channel that was garbling him as he praised it. Alan joked it
Why it failed: The following explanation is taken from https://news.ycombinator.com/item?id=49622607 : Alan Kay performs an improvisational avant garde layered audio feedback loop about Claude Shannon, live online during Kristen Nygaard's 100-year birthday celebration. Alan
behoove
- startupShut down2026
Show HN: Clawe – open-source Trello for agent teams
We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent workflows run, pause, retry, and hand control back to a human at specific points. This started as an experiment in how agent systems might feel to operate, but we're starting to see real potential for it, especially for content review and maintenance workflows in marketing. Curious what abstractions
Why it failed: We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was a
Jonathanfishner
- startupShut down2026
Thanks HN for 15 years of support and helping me find my life's work
Tomorrow is the 15th anniversary of the first day of the Recurse Center ( https://www.recurse.com/ ) My cofounders and I did YC all the way back in the Summer of 2010, with the initial idea of building "OkCupid for jobs." That idea quickly fizzled, and we spent the better part of a year pivoting between other ideas that also failed. Finally, we made something that we wanted ourselves: a self-directed programming retreat, where people built fun projects, contributed to open source, and helped each other become better programmers. After running two small batches, we launched on HN[1] and got an incredible reception. That post on HN helped us reach beyond our personal networks and meet programmers from around the world, many of whom have since become friends. HN brought us the majority of people who came to our next few batches, and in the years since, HN has remain
Why it failed: Tomorrow is the 15th anniversary of the first day of the Recurse Center ( https://www.recurse.com/ ) My cofounders and I did YC all the way back in the Summer of 2010, with the initial idea of building "OkCupid for jobs." That idea quickly fizzled, and we
nicholasjbs
- startupShut down2026
Show HN: Aura – a Rust agent that investigates and fixes production incidents
We run a SaaS that handles petabytes of data. Our SRE team experimented with using claude, openclaw, langchain, etc. within our incident response workflows. We struggled with overflowing context, lethal trifecta vectors, hallucinations, and burned a lot of frontier tokens mostly on easy work. Approval fatigue was a challenge, and we drew a hard line at relaxing permissions in production. Long story short, we built and open-sourced AURA, a Rust-based harness specifically designed for the type of operations work which routinely involves large volumes of telemetry data and coordinated investigations across many domains of knowledge / state. We have found even on open-weights models, root cause accuracy has been very good, and remediation actions are guarded with human-in-the-loop. AURA runs from a centralized configuration file where workers are defined and scoped to task domains, (e.g
Why it failed: We run a SaaS that handles petabytes of data. Our SRE team experimented with using claude, openclaw, langchain, etc. within our incident response workflows. We struggled with overflowing context, lethal trifecta vectors, hallucinations, and burned a lot of frontier tokens mostly
jvogt
- startupShut down2026
Show HN: TTF-DOOM – A raycaster running inside TrueType font hinting
TrueType fonts have a hinting VM that grid-fits glyphs. It has a stack, storage area, conditionals, function calls, and it turns out it's Turing-complete. So I built a raycasting engine in the hinting bytecode. The glyph "A" in the font has 16 vertical bar contours. The hinting program reads player coordinates from font variation axes via GETVARIATION, does DDA ray marching against a tile map in the storage area, and repositions bar heights with SCFS. It ends up looking like a crude Wolfenstein-style view. Small visuzlization: https://github.com/4RH1T3CT0R7/ttf-doom/blob/main/docs/media... About 6.5 KB of bytecode total - 13 functions, 795 storage slots, sin/cos lookup tables. JS handles movement, enemies, and shooting, then passes the coordinates to the font through CSS font-variation-settings. The font is basically a weird GPU
Why it failed: TrueType fonts have a hinting VM that grid-fits glyphs. It has a stack, storage area, conditionals, function calls, and it turns out it's Turing-complete. So I built a raycasting engine in the hinting bytecode. The glyph "A" in the font has 16 vertical bar contours
4RH1T3CT0R
- startupShut down2026
Google to discontinue allowing send as an external account in Jan. 2027
Per https://support.google.com/mail/answer/17101213, starting in January 2027, you may no longer send email as you@x.com if you use a you@gmail.com account. You can only send as you@gmail.com. For those who like the convenience of having all of their external email commingling with their Gmail email, and taking advantage of the integration, such as calendar integration, Google Drive integration, and more, what is our best path forward? At this point, it seems like doing a Google Workspace paid account may be the best solution for continuity of experience, but you break all the commingling and integration. Also, your you@x.com account is a separate window from your you@gmail.com account. You could also consider a service like Fastmail. While it is reasonable quality, you don’t get the quality of the app or of the web experience, and its spam catching features don’
Why it failed: Per https://support.google.com/mail/answer/17101213, starting in January 2027, you may no longer send email as you@x.com if you use a you@gmail.com account. You can only send as you@gmail.com. For those who like the convenience of having all of their exte
AuthorizedCust
- startupShut down2026
SlopCodeBench 10/2026 – Opus 5.5, Astra wins overall, xhigh considered harmful
Quick update here since a lot of folks asked about what slopcodebench is / where it fits in Slop code bench is unique among benchmarks in that it makes a model work against a progressively disclosed list of features (checkpoints) that it doesn’t know it advance, inheriting the same codebase through the lifecycle of a single multi-checkpoint challenge I like this because it much more mirrors how real software dev happens, rather than most benchmarks with one off tasks where slop code doesn’t hinder future progress The original post[1] and the SOL/fable follow up[2] went into a bit more detail on the benchmark and its challenges 1. https://news.ycombinator.com/item?id=49076391 2. https://github.com/humanlayer/advanced-context-engineering-f...
Why it failed: Quick update here since a lot of folks asked about what slopcodebench is / where it fits in Slop code bench is unique among benchmarks in that it makes a model work against a progressively disclosed list of features (checkpoints) that it doesn’t know it advance, inheriting t
dhorthy
- startupShut down2026
Tell HN: An update from the new Tindie team
Received by email tonight about two hours ago: Dear Tindie Community, My name is Gongyu Su, and I am writing on behalf of the new Tindie ownership team. First, we sincerely apologize for the recent downtime and the disruption it caused. We understand that many buyers and community members were left without clear information during the transition, and that this created frustration and concern. Tindie is now owned by EETree LLC, a Washington State company. Our team took over Tindie because we believe it remains an important platform for makers, hardware creators, engineers, and independent sellers around the world. The recent transition was more complex than expected. Tindie runs on an older technical framework with many connected services, and the migration from the previous operating environment to the new one took longer and caused more disruption than anyone wanted. We know this was no
Why it failed: Received by email tonight about two hours ago: Dear Tindie Community, My name is Gongyu Su, and I am writing on behalf of the new Tindie ownership team. First, we sincerely apologize for the recent downtime and the disruption it caused. We understand that many buyers and communit
altairprime
- startupShut down2026
Show HN: Demon – open-source real-time music diffusion engine, 25Hz local GPU
YO, I’m Ryan, lead author. I’ve been contributing open source generative audio stuff for a while now, audio reactive Comfy nodes, extended ACEstep support in Comfy, etc.. I just opened-sourced a new audio project that I've been working on for a few months and I want to tell y'all about it. WHAT IS IS DEMON: Diffusion Engine for Musical Orchestrated Noise This is StreamDiffusion but with audio instead of images, and ACEStep 1.5 instead of Stable Diffusion. It’s responsive enough that you can play it like an instrument, and remix in near real-time. I also distilled the ACEStep VAE: it’s faster at the expense of some quality. I also trained something like 200 lora/dora for ACEStep 1.5 and 1.5XL: I will release these in batches of 5 or 10 or something WHY IT IS Two reasons: 1) Making music is an inherently real-time activity 2) Why not bro SOME RUNTIME CAPABILITIES -Real-time
Why it failed: YO, I’m Ryan, lead author. I’ve been contributing open source generative audio stuff for a while now, audio reactive Comfy nodes, extended ACEstep support in Comfy, etc.. I just opened-sourced a new audio project that I've been working on for a few months and I want to tell
ryanontheinside
- startupShut down2026
Show HN: Xmloxide – an agent-made Rust replacement for libxml2
Recently several AI labs have published experiments where they tried to get AI coding agents to complete large software projects. - Cursor attempted to make a browser from scratch: https://cursor.com/blog/scaling-agents - Anthropic attempted to make a C Compiler: https://www.anthropic.com/engineering/building-c-compiler I have been wondering if there are software packages that can be easily reproduced by taking the available test suites and tasking agents to work on projects until the existing test suites pass. After playing with this concept by having Claude Code reproduce redis and sqlite, I began looking for software packages where an agent-made reproduction might actually be useful. I found libxml2, a widely used, open-source C language library designed for parsing, creating, and manipulating XML and HTML documents. Three months ago it became u
Why it failed: Recently several AI labs have published experiments where they tried to get AI coding agents to complete large software projects. - Cursor attempted to make a browser from scratch: https://cursor.com/blog/scaling-agents - Anthropic attempted to make a C Compil
jawiggins
- startupShut down2026
Show HN: Kontext CLI – Credential broker for AI coding agents in Go
We built the Kontext CLI because AI coding agents need access to GitHub, Stripe, databases, and dozens of other services — and right now most teams handle this by copy-pasting long-lived API keys into .env files, or the actual chat interface, whilst hoping for the best. The problem isn't just secret sprawl. It's that there's no lineage of access. You don't know which developer launched which agent, what it accessed, or whether it should have been allowed to. The moment you hand raw credentials to a process, you've lost the ability to enforce policy, audit access, or rotate without pain. The credential is the authorization, and that's fundamentally broken when autonomous agents are making hundreds of API calls per session. Kontext takes a different approach. You declare what credentials a project needs in a .env.kontext file: GITHUB_TOKEN={{kontext:github}} S
Why it failed: We built the Kontext CLI because AI coding agents need access to GitHub, Stripe, databases, and dozens of other services — and right now most teams handle this by copy-pasting long-lived API keys into .env files, or the actual chat interface, whilst hoping for the best. The probl
mc-serious
- startupShut down2025
Show HN: RowboatX – open-source Claude Code for everyday automations
Claude Code is great, but it’s focused on coding. The missing piece is a native way to build and run custom background agents for non-code tasks. We built RowboatX as a CLI tool modeled after Claude Code that lets you do that. It uses the file system and unix tools to create and monitor background agents for everyday tasks, connect them to any MCP server for tools, and reason over their outputs. Because RowboatX runs locally with shell access, the agents can install tools, execute code, and automate anything you could do in a terminal with your explicit permission. It works with any compatible LLM, including open-source ones. Our repo is https://github.com/rowboatlabs/rowboat , and there’s a demo video here: https://youtu.be/cyPBinQzicY For example, you can connect RowboatX to the ElevenLabs MCP server and create a background workflow that produces a No
Why it failed: Claude Code is great, but it’s focused on coding. The missing piece is a native way to build and run custom background agents for non-code tasks. We built RowboatX as a CLI tool modeled after Claude Code that lets you do that. It uses the file system and unix tools to create and
segmenta
- startupShut down2025
Ask HN: Finding Remote Enterprise SW Consulting Leads: Non-US Resident Edition
Been wrestling with this for a while, figured some of you might have seen similar. The Situation: * 15+ years Enterprise Software - PLM (Product Lifecycle Management) experience, including a stint at Google. * Now based in India. * Strong US network (NY, OH, OK, CA). * Targeting direct client engagements, potentially building a small remote team. * Problem: Most remote PLM roles explicitly state US/UK/EU residency. The Question: How do you effectively find remote PLM consulting/contracting gigs in the US when you're physically outside those regions? Freelance platforms seem to be a dead end due to the residency requirements. Initial Thoughts (and Maybe Where I'm Going Wrong): * Leveraging existing network is a given, but feels like I'm hitting a wall. * Direct outreach to companies? Feels like a long shot, especially with the location hurdle. * Is there some
Why it failed: Been wrestling with this for a while, figured some of you might have seen similar. The Situation: * 15+ years Enterprise Software - PLM (Product Lifecycle Management) experience, including a stint at Google. * Now based in India. * Strong US network (NY, OH, OK, CA). * Targeting
mecHacker
- startupShut down2025
Show HN: Stockfisher –– our automated Warren Buffett
Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already. Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach. Iteration by iteration, my skepticism has turned to light distrust, and then into actually getting value out of our company forecasts. Like most AI companies, we draw from improvements against our LLM-agent benchmarks, Deep Research Bench and Bench to the Future. But at the end of the day, to evaluate it, I think it’s best
Why it failed: Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices al
ddp26
- startupShut down2025
Show HN: Tusk Drift – Open-source tool for automating API tests
Hey HN, I'm Marcel from Tusk. We’re launching Tusk Drift, an open source tool that generates a full API test suite by recording and replaying live traffic. How it works: 1. Records traces from live traffic (what gets captured) 2. Replays traces as API tests with mocked responses (how replay works) 3. Detects deviations between actual vs. expected output (what you get) Unlike traditional mocking libraries, which require you to manually emulate how dependencies behave, Tusk Drift automatically records what these dependencies respond with based on actual user behavior and maintains recordings over time. The reason we built this is because of painful past experiences with brittle API test suites and regressions that would only be caught in prod. Our SDK instruments your Node service, similar to OpenTelemetry. It captures all inbound requests and outbound calls like database queries, HTT
Why it failed: Hey HN, I'm Marcel from Tusk. We’re launching Tusk Drift, an open source tool that generates a full API test suite by recording and replaying live traffic. How it works: 1. Records traces from live traffic (what gets captured) 2. Replays traces as API tests with mocked respo
Marceltan
- startupShut down2025
Show HN: An MCP server for understanding AWS costs
Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's using the Vantage API) Video demo: https://www.youtube.com/watch?v=n0VP2NlUvRU Repo: https://github.com/vantage-sh/vantage-mcp-server It's really impressive how capable the latest-gen models are with an MCP server and an API. So far we have found it useful fo
Why it failed: Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more pro
StratusBen
- startupShut down2025
Show HN: Particle - News, Organized
Hello HN! Particle News product engineer here. Keeping up with the news is overwhelming in an age of information overload. Particle reimagines the experience by organizing articles into comprehensive "Stories," offering clear, concise summaries to quickly grasp what matters. Today, we reached the #1 spot in "Newspapers & Magazine" on the iOS App Store—and I thought I'd share a bit of our backstory. I've been connected to this team for a long time. About 20 years ago, I shared a house with our CTO and co-founder Marcel Molina. I helped him get started with programming. Since then, Marcel has had an extraordinary career—becoming a senior staff engineer at Twitter, where he helped build foundational features like Retweets, Notifications, and Lists, and later working at Tesla on manufacturing execution systems that scaled across Gigafactories. At Twitter, Ma
Why it failed: Hello HN! Particle News product engineer here. Keeping up with the news is overwhelming in an age of information overload. Particle reimagines the experience by organizing articles into comprehensive "Stories," offering clear, concise summaries to quickly grasp what mat
enduser
- startupShut down2025
Launch HN: Leaping (YC W25) – Self-Improving Voice AI
Hey HN, I'm Arkadiy from Leaping AI ( https://leapingai.com ). Leaping lets you build voice AI agents in a multi-stage, graph-like format that makes testing and improvement much easier. By evaluating each stage of a call, we can trace errors and regressions to a particular stage. Then we autonomously vary the prompt for that stage and A/B test it, allowing agents to self-improve over time. You can talk to one of our bots directly at https://leapingai.com , and there’s a demo video at https://www.youtube.com/watch?v=xSajXYJmxW4 . Large companies are understandably reluctant to have AI start picking up their phone calls—the technology kind of works, but often not very well. If they do take the plunge, they often end up spending months tuning the prompts for just one use-case, and sometimes never even end up releasing the voice bot. The problem i
Why it failed: Hey HN, I'm Arkadiy from Leaping AI ( https://leapingai.com ). Leaping lets you build voice AI agents in a multi-stage, graph-like format that makes testing and improvement much easier. By evaluating each stage of a call, we can trace errors and regressions to a pa
akyshnik
- startupShut down2025
Show HN: ChatToSTL – AI text-to-CAD for 3D printing
Hey HN, I'm a beginner at CAD so I built an app that does it for me ;) Describe a part and ChatToSTL writes the OpenSCAD code, shows a live render with size sliders, then exports the STL/3MF file. Because the output is parametric, it's easy to modify (unlike mesh models like Shap-E or DreamFusion). Try it (needs your own OpenAI key): https://huggingface.co/spaces/flowfulai/ChatToSTL How it works: Text prompt → o4-mini generates OpenSCAD code → live render + sliders → refine in chat → export. Examples & Code: * Walkthrough + real prints (bowl, hook, box, door stop): https://medium.com/@nchourrout/vibe-modeling-turning-prompts... * 90-sec demo: https://www.youtube.com/watch?v=ZK_IDaNn1Mk * MIT repo: https://github.com/nchourrout/chat-to-stl Current limitations (it's not replacing Fusion
Why it failed: Hey HN, I'm a beginner at CAD so I built an app that does it for me ;) Describe a part and ChatToSTL writes the OpenSCAD code, shows a live render with size sliders, then exports the STL/3MF file. Because the output is parametric, it's easy to modify (unlike mesh m
flowful
- startupShut down2025
Show HN: Onlook – Open-source, visual-first Cursor for designers
Hey HN, I’m Kiet – one half of the two-person team building Onlook ( https://beta.onlook.com/ ), an open-source [ https://github.com/onlook-dev/onlook/ ] visual editor that lets you edit and create React apps live on an infinite canvas. We launched Onlook [1][2] as a local-first Electron app almost a year ago. Since then, “prompt-to-build” tools have blown up, but none let you design and iterate visually. We fixed that by taking a visual-first, AI-powered approach where you can prompt, style, and directly manipulate elements in your app like in a design tool. Two months ago, we decided to move away from Electron and rewrite everything for the browser. We wanted to remove the friction of downloading hundreds of MBs and setting up a development environment just to use the app. I wrote more here [3] about how we did it, but here are some learnings fro
Why it failed: Hey HN, I’m Kiet – one half of the two-person team building Onlook ( https://beta.onlook.com/ ), an open-source [ https://github.com/onlook-dev/onlook/ ] visual editor that lets you edit and create React apps live on an infinite canvas. We
hoakiet98
- startupShut down2025
Show HN: ActorCore – Stateful serverless framework that runs anywhere
Hey HN! Today we're launching ActorCore ( https://actorcore.org/ ), a stateful serverless framework that enables deploying Cloudflare Durable Object-like workloads to any cloud. If you're unfamiliar with stateful serverless: it's like the actor model, where each actor maintains its own isolated, persistent state. (Think Lambda functions with local storage & runs indefinitely.) It enables easily building long-running, realtime, durable, or local-first backends with the flexibility of serverless infrastructure. The most widely used implementation is Cloudflare Durable Objects, powering products like Clerk, Tldraw, Liveblocks, and Playroom. A few months ago we launched Rivet Actors ( https://news.ycombinator.com/item?id=42472519 ) as an open-source alternative to Cloudflare Durable Objects. After that launch, we kept hearing three common conc
Why it failed: Hey HN! Today we're launching ActorCore ( https://actorcore.org/ ), a stateful serverless framework that enables deploying Cloudflare Durable Object-like workloads to any cloud. If you're unfamiliar with stateful serverless: it's like the actor model
NathanFlurry
- startupShut down2025
Show HN: Wispbit - Linter for AI coding agents
Hey HN! Ilya and Nikita here. We're building wispbit ( https://wispbit.com ) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context. So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time. You can enforce these rules during code review, and because we have this rules system, you can run a CLI locally to review using these rules. You can think of it as a portable rules file that you can bring anywhere. We put a lot of work into making a system that produces good rules and avoids slop. For reposi
Why it failed: Hey HN! Ilya and Nikita here. We're building wispbit ( https://wispbit.com ) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this ha
dearilos
- startupShut down2025
Launch HN: MindFort (YC X25) – AI agents for continuous pentesting
Hey HN! We're Brandon, Sam, and Akul from MindFort ( https://mindfort.ai ). We're building autonomous AI agents that continuously find, validate, and patch security vulnerabilities in web applications—essentially creating an AI red team that runs 24/7. Here's a demo: https://www.loom.com/share/e56faa07d90b417db09bb4454dce8d5a Security testing today is increasingly challenging. Traditional scanners generate 30-50% false positives, drowning engineering teams in noise. Manual penetration testing happens quarterly at best, costs tens of thousands per assessment, and takes weeks to complete. Meanwhile, teams are shipping code faster than ever with AI assistance, but security reviews have become an even bigger bottleneck. All three of us encountered this problem from different angles. Brandon worked at ProjectDiscovery building the Nuclei scann
Why it failed: Hey HN! We're Brandon, Sam, and Akul from MindFort ( https://mindfort.ai ). We're building autonomous AI agents that continuously find, validate, and patch security vulnerabilities in web applications—essentially creating an AI red team that runs 24/7. He
bveiseh
- startupShut down2025
Launch HN: Browser Buddy (YC W24) – A recommendation system for Internet writing
Hey HN! We're Arnav and Jeremy and we're building Browser Buddy, a recommendation system you can chat with to find quality Internet writing based on your interests and aspirations. As we've grown up, this writing was a source of inspiration that helped us discover ideas and opportunities we didn't even know we were looking for (ex. applying to YC because of PG's essays). But despite so many new creators and websites coming online, the best of the open Internet remains hard-to-find, scattered across personal sites ( https://www.paulgraham.com/ , https://www.eugenewei.com/ ), niche publications ( https://www.noemamag.com/ , https://worksinprogress.co/ ), and various independent publishing platforms ( https://bearblog.dev/ , https://substack.com/ , https://medium.com&
Why it failed: Hey HN! We're Arnav and Jeremy and we're building Browser Buddy, a recommendation system you can chat with to find quality Internet writing based on your interests and aspirations. As we've grown up, this writing was a source of inspiration that helped us discover
alien0006