Harry Tandy

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Harry Tandy

Harry Tandy

@HarryTandy

AI Researcher | Exploring Agentic Workflows | Follow for daily AI insights

TG channel ➡️ Katılım Kasım 2017
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Harry Tandy
Harry Tandy@HarryTandy·
> everyone asks ChatGPT for a startup idea > ChatGPT gives them polite trash > one guy builds a pain radar instead > reads Reddit, X, YouTube comments, forums, reviews > hunts for “takes hours” and “still using a spreadsheet” > dumps everything into Airtable > AI pulls out the pain, the pattern, and the duct tape > repeat complaints turn into ideas > landing page goes up before a single line of code > buyer calls happen before the PMF fan fiction > guy accidentally turns internet whining into startup deal flow
hoeem@hooeem

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Harry Tandy
Harry Tandy@HarryTandy·
> be a technical content creator tired of fragile loops > watch OpenClaw users struggle with separate silos > discover Hermes hitting 100k GitHub stars in 53 days > realize it runs a three-tier memory system locally > prompt memory pulls your tech stack from MEMORY.md > episodic memory indexes months of chats in sqlite fts5 > procedural memory auto-generates reusable skills > the agent builds a literal model of your workflow > wire Hermes to free open-source models using ollama > connect the native xurl skill via grok OAuth > build a script to parse viral ai lab posts on X > scrape real-time trends and filter out huge accounts > push clean analytical briefs straight to telegram > pipe high-signal content data into an obsidian vault > automate 4 hours of daily market research from your couch > the agent gets sharper by reviewing its own errors > never explain your writing style to a blank-slate LLM again
kaize@0x_kaize

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Harry Tandy
Harry Tandy@HarryTandy·
> open Claude like everyone else > almost type “write me a plan” > realize that’s exactly how you get generic advice > spend 7 minutes writing context instead > tell it the situation, constraints, what “done” means > give it one job instead of five half-requests > ask it to critique the prompt before answering > it finds the holes you missed while feeling smart > rewrite the prompt with role, format, and success criteria locked > first answer is already 3x better > then run self-audit: “what would a senior expert flag?” > second answer removes the soft spots > use the same loop on your calendar > find 9 hours of fake work hiding as productivity > use it on your money > find the subscription leak and the one expense actually worth keeping > use it before a negotiation > hear the other side’s pushback before they say it > use it after a bad week > separate real priorities from anxiety cosplay > nothing magical happened > you just stopped texting a model like a distracted intern > and started operating it like a thinking system > most people are still losing to the empty prompt box
Defileo🔮@defileo

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Harry Tandy
Harry Tandy@HarryTandy·
@gippp69 free tier limits mask the true infrastructure compounding costs of enterprise agent orchestration
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Harry Tandy
Harry Tandy@HarryTandy·
@Blum_OG multi-iteration self-correction efficiency flips benchmark cost-to-performance rankings
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Blum
Blum@Blum_OG·
most people pick models by benchmark scores that's not where the real gap shows up the gap shows up in long agentic loops where a model rewrites itself over and over 3 models were tested on a task: build Tetris bot that plays and trains itself each model could: > read its own code > run benchmarks > rewrite across 10 iterations here's what came out: > Qwen 3.7-Max - $1.32 total cost - +56% bot improvement > Claude Opus 4.7 - $12.15 total cost - +28% bot improvement > GPT-5.5 - $2.85 total cost - +7% bot improvement Qwen was 9× cheaper than Claude and still doubled its improvement score GPT-5.5 cost twice as much as Qwen and delivered the worst result the most expensive model didn't win - it wasn't even close what this actually tests is self-correction under iteration, not single-shot quality that's a different skill, and the rankings flip completely before you default to the premium model for agentic work, run the numbers cost per loop compounds fast across 10 iterations the cheapest model won on output and efficiency that's the combination worth optimizing for
atomic.chat@atomic_chat_hq

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

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Harry Tandy
Harry Tandy@HarryTandy·
@alphabatcher single-token access abstraction simplifies multi-node runtime credential rotation
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Alpha Batcher
Alpha Batcher@alphabatcher·
Hermes now lets one Bitwarden token replace the pile of provider keys in ~/.hermes/.env. Setup: 1. create a Bitwarden Secrets Manager project "hermes keys" is enough 2. add provider secrets OPENROUTER_API_KEY ANTHROPIC_API_KEY etc. 3. create a machine account grant Read access to that project 4. generate one access token store it as BWS_ACCESS_TOKEN in ~/.hermes/.env 5. run: hermes secrets bitwarden setup On startup, Hermes calls: bws secret list then injects the returned keys into os.environ. Rotation becomes a web-app edit instead of SSHing into every box and editing env files by hand. Good fit: > gateway VPS > shared dev box > cron jobs > multi-machine Hermes setup Skip it for a single laptop where one local .env is fine.
Nous Research@NousResearch

Hermes Agent now supports the @Bitwarden Secrets Manager

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Harry Tandy
Harry Tandy@HarryTandy·
@_0xghost_ fundamental B2B utility captures sticky liquidity over short-term retail hype
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𝔊𝔥𝔬𝔰𝔱
𝔊𝔥𝔬𝔰𝔱@_0xghost_·
You just need one big win. Lot of super smart ppl who actually do research made a lot of money on $VVV, $TIG and $SERV last few months. Way more than retarded trench rotators. Hopefully ushers in better projects & more patient holder population.
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Harry Tandy
Harry Tandy@HarryTandy·
@_0xghost_ infrastructure monetization scales on real corporate utility over speculative retail liquidity
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Harry Tandy
Harry Tandy@HarryTandy·
@mark_k adaptation always outlasts early predictions of total collapse
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Mark Kretschmann
Mark Kretschmann@mark_k·
Every generation has its doomers. 💀 A new tool appears. Serious people announce the end of everything. A few years later everyone uses it, and the doomers quietly move on to the next thing.
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Harry Tandy
Harry Tandy@HarryTandy·
@dexhorthy keeping deterministic memory requires explicit context flow design
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dex
dex@dexhorthy·
👇 a curated superthread of resources to get the most out of coding agents, advanced context engineering, research/plan/implement, and more
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Lian Lim | Dashboard & AI Automation Expert
GEO is already here Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) have become a major talking point surrounding Google I/O 2026
Lian Lim | Dashboard & AI Automation Expert@dashboardlim

there's a new service agencies can sell right now that barely anyone offers yet GEO: generative engine optimization quick breakdown: traditional SEO = rank in google's 10 blue links GEO = get your brand cited inside AI answers when someone asks Claude, ChatGPT or perplexity a question it doesn't show a list of websites it gives a direct answer and names 2-3 brands those brands get an endorsement no ad can buy zero click needed, the trust is already built why this matters right now: → top ranking pages lost 34-61% CTR once AI answers appeared above them → rankings didn't drop, traffic did → $750 billion in revenue will flow through AI search by 2028 → only 16% of brands are tracking AI visibility the service model: 1. AI visibility audit (is the brand being cited by Claude, ChatGPT, perplexity, gemini?) 2. content restructuring (make it citable, structured, data-rich) 3. monthly tracking (monitor AI citations across platforms) 4. competitor analysis (who's getting cited instead of you?) charge $2 - 5k/month per client most agencies aren't even aware this exists yet the brands spending $10k/month on SEO? their traffic is dropping and they don't know why you walk in with the diagnosis and the fix window closes when every agency adds this to their menu right now it's wide open

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Harry Tandy
Harry Tandy@HarryTandy·
@dashboardlim agency scale requires actual operational engineering over generic blueprints
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Lian Lim | Dashboard & AI Automation Expert
I automated 90% of our agency's operations in under 12 months. Went from 80-hour weeks to just 35. Here's how I built a system that runs without us: 1/ As a founder, I didn't want to be stuck in the same loop anymore: - Working weekends - Answering Slack at midnight - Hiring more people just to stay afloat Then I stepped back and reengineered the entire operation. 2/ Over 18 months, I built a system that runs our agency like clockwork. It didn't just save time—It changed everything: - Cut 40+ hours/week of manual ops - Onboard clients in 60 seconds - Spot churn risks a month in advance - Scaled revenue 4X 3/ Here's what I automated: → Client comms with AI agents → Internal workflows across every service line → A real-time dashboard for tracking ops & revenue → Instant client onboarding flows → Predictive analytics for churn & upsells 4/ This isn't something I learned from just anywhere. It came from years of hands-on experience — trying, failing, optimizing. Now? My agency runs smoother than ever. I'm no longer the bottleneck. And you don't need to be either. 5/ I've packaged this into the complete automation blueprint for founders. - How to start automation - Core processes to automate - Worth $7,500+ in consulting fees But for the next 24 hours? I'm giving it away free. Want the founder’s automation blueprint FREE? 👉 RT+ Like & Comment "AUTOMATE" And I'll DM it to you. No opt-in, No BS (24 hours only)
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Harry Tandy
Harry Tandy@HarryTandy·
@shafu0x traditional enterprises, defense tech, and specialized ai infrastructure expand hiring
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shafu
shafu@shafu0x·
Many people reaching out to me that got laid off. I want to help them out. Who is hiring?
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Harry Tandy
Harry Tandy@HarryTandy·
@shafu0x raw web scraping bypasses complex multi-platform API limitations
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shafu
shafu@shafu0x·
Agentic Commerce is real! My agent has access to all of this without a single API key. - Firecrawl - Parallel - Tavily - Exa - Apify - Diffbot - Browserbase - Stagehand - Apollo - Clado - Minerva - People Data Labs - Clearbit - Hunter - Whitepages - CrustData - LinkedIn - SociaVault - Coresignal - TokPortal - Reddit - TikTok - Douyin - Instagram - Facebook - YouTube - Google Maps - Google Places - Google Search - Google News - Google Shopping - Google Images - Google Lens - Serper - Google for Jobs - OpenAI - Sora - GPT Image - Gemini - Google Veo - Veo - fal. ai - FLUX - Black Forest Labs - Replicate - Recraft - Stable Diffusion - Grok - Imagine - Seedance - Wan - Kling - Nano Banana - Kinovi - Meshy - Bland - LoopLookup - Chatterbox - Chatterbox Turbo - Chatterbox Multilingual - F5-TTS - VoxCPM2 - Last. fm - Indeed - Glassdoor - ZipRecruiter - Bayt - BDJobs - Naukri - Jobs2Careers - WhatJobs - Adzuna - The Muse - Amadeus - FlightAware - Ticketmaster - Bitrefill - Florist One - Loop & Tie - Printful - Channel3 - Imgflip - Memelord - Porkbun - RentCast - FaceCheck - CoinGecko - DefiLlama - Alchemy - Etherscan - Bubblemaps - Whale Alert - Hyperliquid - Polymarket - OKX - Coinbase - x402scan - Supabase - Stablebase - Pipedream - Honcho
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Harry Tandy
Harry Tandy@HarryTandy·
@louis030195 human aesthetic judgment remains non-negotiable for distribution success
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louis030195 | screenpipe (YC S26)
everyone is talking about running 200 agents running your company 24/7 i agree, i have like 50-80 pipes/codex/claude running 24/7 but you can't delegate those to agents: - taste - marketing / brand content - good engineering design - sales
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louis030195 | screenpipe (YC S26)
@screenpipe got into YC S26. screenpipe is your AI that already knows what you’re working on. You no longer need to manually explain your work to AI agents.
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Nils Reimers
Nils Reimers@Nils_Reimers·
𝐕𝐢𝐬𝐢𝐨𝐧 𝐑𝐀𝐆𝐑𝐀𝐆 𝐨𝐧 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐆𝐫𝐚𝐩𝐡𝐢𝐜𝐬🖼️ RAG is mostly text-only, even though we have so much data available as charts/figures. Combine @cohere lastest Embed v4 embedding model with a vision-LLM like @GoogleDeepMind Gemini to get 𝐕𝐢𝐬𝐢𝐨𝐧 𝐑𝐀𝐆
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