惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

B
Blog RSS Feed
C
CERT Recently Published Vulnerability Notes
P
Proofpoint News Feed
Y
Y Combinator Blog
T
The Blog of Author Tim Ferriss
云风的 BLOG
云风的 BLOG
H
Help Net Security
Recorded Future
Recorded Future
The Register - Security
The Register - Security
F
Full Disclosure
N
Netflix TechBlog - Medium
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
酷 壳 – CoolShell
酷 壳 – CoolShell
H
Hackread – Cybersecurity News, Data Breaches, AI and More
爱范儿
爱范儿
Security Archives - TechRepublic
Security Archives - TechRepublic
Simon Willison's Weblog
Simon Willison's Weblog
Cisco Talos Blog
Cisco Talos Blog
I
InfoQ
T
Tenable Blog
T
Tor Project blog
人人都是产品经理
人人都是产品经理
D
DataBreaches.Net
NISL@THU
NISL@THU
Google DeepMind News
Google DeepMind News
博客园 - 叶小钗
B
Blog
V
V2EX
Jina AI
Jina AI
L
LangChain Blog
月光博客
月光博客
W
WeLiveSecurity
U
Unit 42
AWS News Blog
AWS News Blog
C
Cyber Attacks, Cyber Crime and Cyber Security
博客园 - 聂微东
V
Visual Studio Blog
A
Arctic Wolf
T
Tailwind CSS Blog
The Cloudflare Blog
SecWiki News
SecWiki News
S
SegmentFault 最新的问题
Hacker News - Newest:
Hacker News - Newest: "LLM"
宝玉的分享
宝玉的分享
MyScale Blog
MyScale Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
S
Securelist
www.infosecurity-magazine.com
www.infosecurity-magazine.com
腾讯CDC
雷峰网
雷峰网

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
I copy-pasted ChatGPT prompts into Reddit 200 times before I built this
Jin Otto · 2026-06-19 · via DEV Community

It's 11:14pm on a Tuesday. I'm 47 tabs deep in Reddit. I have ChatGPT open in another window. I'm doing the same loop I've been doing for three months:

  1. Find a thread where someone has the exact problem my product solves.
  2. Copy the OP into ChatGPT with a paragraph of context about who I am and what I'm building.
  3. Wait six seconds.
  4. Get a reply that sounds like a LinkedIn post wrote a Reddit comment.
  5. Rewrite it so it sounds like me.
  6. Paste, post, copy the link, log it in a spreadsheet.
  7. Forget what I just said by the time I get to the next thread.

I did this about 200 times before I admitted it wasn't working. Not the outreach — the outreach worked. The process was the thing that was broken. I was the bottleneck, and the bottleneck wasn't writing the replies. It was the 30 seconds between every reply where I had to reload my own brain.

This post is the field log. If you're doing founder-led GTM on Reddit, X, LinkedIn, or anywhere founders hang out, you've probably done some version of this loop too. Here's what I learned about why ChatGPT-then-paste is the slowest possible way to do it, and what I built instead.

The thing nobody tells you about ChatGPT for sales

ChatGPT is a brilliant generalist. It is not a brilliant founder. It does not know what your product does. It does not know what you sound like. It does not know what you said to the last 12 people in this exact subreddit. Every single reply, you are giving it those three things again, and every single reply, it forgets them the second you close the tab.

The cost of that forgetting compounds in three places:

Voice drift. I sound a certain way when I write. Casual but specific. Short sentences. I don't say "leverage." I say "use." I don't say "synergy" ever. ChatGPT, left to its own defaults, writes like a Medium post from 2019. Every reply takes me four minutes to rewrite into something a human would say out loud.

Context blindness. If you replied in r/SaaS yesterday, you probably want to know that before you reply there again today. ChatGPT does not know. ChatGPT has never met you. Every conversation starts from zero. Every reply re-derives your positioning from scratch and gets it slightly wrong.

No memory of what worked. I have a sense — vague, unverified — of which replies got upvoted, which got DMs, which got ignored. ChatGPT has zero sense of it. Which means I am never learning from my own data. I am running the same play 200 times and hoping the average gets better.

The combined effect is that ChatGPT is doing about 15% of the work and creating about 60% of the friction. It's a calculator pretending to be a co-pilot.

What I actually need (and what I built)

The thing I wanted, sitting there at 11pm, was simple to describe and apparently hard to find:

A single tab where I can see every interesting conversation happening about my product's space, where every reply comes back already grounded in what my product does, what I sound like, and what I've already said to this person.

That's it. That's the whole brief. I'm not trying to replace myself. I'm trying to delete the 30 seconds of context-loading between every message. Multiply 30 seconds by 200 replies and you've got 100 minutes a day of me being a human RAM stick.

So I built Thread Otter. It's a Chrome extension plus a web app. Here's what it actually does, in the order it does it:

1. It watches Reddit, X, LinkedIn, and Bluesky. It pulls in threads where someone is actively asking about the problem you solve, using keyword and signal rules you set once. You don't go hunt for conversations. They land in an inbox.

2. It already knows what your product does. You drop a website URL the first time, it crawls and embeds it. From then on, every draft retrieves the relevant chunks. If someone asks "does it work with Webflow," the draft already knows whether it does, because it read your docs.

3. It already knows what you sound like. You give it five to ten examples of your own writing — old replies, tweets, blog posts. It builds a voice profile and uses it for every draft. No more "leverage." No more LinkedIn cadence. The drafts come out quiet. They sound like you wrote them at 11pm, because the model was given a sample of you writing at 11pm.

4. It remembers the conversation. If you replied to this person on Tuesday, the Wednesday draft knows that. Every message in the thread is part of the context, not just the OP.

5. The Chrome extension closes the loop in-place. You don't have to leave Reddit to draft a reply. You open the side panel, the draft is already there, you edit, you paste, you post. Same flow on X, LinkedIn, Bluesky.

That's the product. I'm not going to tell you it's magic. It is not magic. It is the same writing you would have done, with 30 seconds shaved off every reply, and the boring stuff cached.

What this is not

I have to be careful here, because the failure mode of every AI tool in 2026 is overselling.

It is not a fire-and-forget posting bot. I will not build that. Spam is what kills good outbound and it's how good subreddits die. Every draft is reviewed by you before it posts. If you wanted a bot, there are plenty. This is not it.

It does not find product-market fit for you. If you point it at a market that doesn't want what you sell, it will help you write very pleasant replies to a market that does not want what you sell. Garbage in, polite garbage out.

It does not replace the judgment call. Should I reply to this thread? Should I push harder? Should I back off? You still decide. The tool just makes the mechanics cheaper.

What it gives you back is the most valuable thing a solo founder has and the easiest thing to lose: an evening. If you do 200 reps a month and each rep cost you four minutes of fiddly editing, that's 13 hours a month. That's a weekend. That's the difference between burning out on outreach and actually getting to write the next feature.

How I'm using it right now

In the interest of not making this an ad, here is exactly what my week looks like now.

Sunday night I open the inbox. There are roughly 30 to 50 fresh threads from the week, sorted by how well they match my saved rules. I skim. I trash maybe half — wrong fit, wrong tone, off-topic. The rest sit as drafts.

Monday morning, coffee in hand, I work the queue. I'm probably averaging 90 seconds per reply now: read the thread, read the draft, edit two sentences, send. The draft is not always right. Sometimes it gets the angle wrong and I rewrite the opener. But the bones of the reply — what my product does, what I sound like, what I already said — are correct. That's the part that used to take all my attention.

Tuesday through Friday, the extension does most of the catching. Threads I want to reply to surface in-place. I draft in the side panel, post, move on.

The result, ten weeks in: I'm sending roughly 4x the replies I was sending in the ChatGPT-and-spreadsheet era. The quality is better, not worse, because the drafts are grounded in stuff a generalist model never had. I haven't been to bed at 1am in a month.

If you've been doing this loop too

If any of the 11pm Tuesday scene at the top of this post felt familiar, I'd like to make this easy.

I'm running a Founding 100 cohort right now. The first 100 founders to sign up on the Solo plan pay $29/month, locked in for life. No tier games, no annual contract, no expiry. The plan after that is $49.

The reason for the discount is that I want the first 100 customers to be people who'd give me real feedback. I will read every email. I will fix things you point at. If something is broken for the way you work, tell me and I'll move it to the top of the list.

There are real spots left and the counter is live on the pricing page. When it hits 100, the lifetime price closes.

If you want to try it without committing, every plan has a 14-day trial, no card required. Go in, drop your product URL, paste five of your own replies into the voice profile, point it at one subreddit you care about, and watch what shows up by tomorrow morning.

And if you want to skip the trial and just take the founding deal: threadotter.com/pricing.

The thing I wish someone had told me at 11pm three months ago was: this loop you're in is solvable. You don't have to keep being the bottleneck. The work is yours. The 30 seconds of reloading isn't.

-- Otto


Originally published at www.threadotter.com.