Astra

Thanks a lot @jup_uplink ❣️🫂

list of startup accelerators you can apply to right now: TOP TIER ACCELERATORS - a16z Speedrun ($750k to $1M for ~7 to 10%) - Y Combinator ($500k for ~7%) - Techstars ($220k for ~5 to 7%) - 500 Global ($112.5k for 6%) - LAUNCH ($125k for 6 to 7%) - AngelPad ($120k for ~7%) EARLY FOUNDER PROGRAMS - Pioneer ($20k for 1%) - Entrepreneur First (~$250k for ~9%) - South Park Commons ($400k for 7% + $600k follow on) - Founder Institute (equity based program) - Founders Fellowship ($150k for 5 to 10%) AI FOCUSED PROGRAMS - OpenAI Converge ($1M equity investment) - Betaworks AI Camp ($500k) - AI Grant ($250k uncapped) - AI2 Incubator ($50k to $150k) VENTURE STUDIOS / RESIDENCIES - Sequoia Arc (~$1M) - PearX ($250k to $2M) - HFO Residency ($1M uncapped for 5%) - NEO ($600k uncapped SAFE) - Greylock Edge (SAFE + $500k credits) - Conviction Embed ($150k uncapped MFN SAFE) GLOBAL ACCELERATORS - Seedcamp (€100k to €200k for ~7 to 7.5%) - Startup Wise Guys (up to €65k) - APX (up to €500k, typically €50k for ~5%) OTHERS - Accel Atoms (up to $500k to $1M) - Afore Capital ($100k to $500k) - Berkeley SkyDeck ($200k) - Soma Capital ($100k) - Boost VC (up to $500k for ~15%) - Google for Startups (up to $100k) bookmark this if you're building.

an ai wrapper app I made in less than a day has printed money with zero marketing to my audience just some reddit posts made by @PariharCodes I slid into @jackfriks 's dms to get an answer I already knew he just told me to ship it maybe I should market it more

I recently spoke to a marketer who ran a $40M brand with just two designers and ONE AI process. I paid him 6 figs to build these systems for my companies. He chains together 7 AI tools: creative brief → image gen → scale winning assets. All run by 2 offshore designers.

HOW TO GET THOUSANDS OF VIEWS USING CLAUDE CODE AND REMOTION one guy created demos that got him thousands of new visitors for his startup here's the exact process: 1\ install remotion (react-based video generation) code becomes a video. thats literally it. 2\ use claude code with remotion skills > remotion-transitions for scene cuts > frontend-design for illustrations > claude writes the video components, you tweak timing 3\ build feature illustrations first claude code generates SVG-based product visuals directly in your landing page components things that take designers days now take hours 4\ rebuild your landing page go from placeholder screenshots to actual branded, animated UI sections same loop. claude does the heavy lifting 5\ create the reels each reel is just a react component claude scaffolds the scene. you adjust copy and timing. export. first reel: 1 hours second reel: 30 minutes now under 10 minutes per reel it'll get faster and faster as you recycle what you already have made the thing he thought required months and thousands of dollars he was doing himself for free $0 production costs besides claude code subscription here's a demo using this exact strat for someone's product:

claude superpowers is the most underrated plugin for marketers right now 83,000 github stars. trending daily. but almost everyone using it is a developer

Our bootstrapped SaaS just outranked our 6 VC backed competitors in under 48 hours. ChatGPT and AIOs are actively sh*t talking them and recommending us

Introducing @CitecatResearch An integrated workflow for academic researchers. One place to browse, understand and write academic papers. No more context-switching between 5 different tools.

how to start GTM engineering in the next 5 minutes today create a folder in documents that you're going to do all of your work out of install claude code and work out of that folder in your terminal in that folder, store all API keys in one .env file. Claude Code will read it and connects everything automatically this is literally all you have to do to get started now sere are things you can do right now with the tools and APIs wired up: 1. Run a full LinkedIn lead pipeline Give me a LinkedIn post URL and I'll scrape engagers (Phantombuster), enrich with emails (Apollo), verify them (Million Verifier), and add to a cold email campaign (Instantly). End-to-end lead gen from a single post. 2. Reply to LinkedIn comments at scale Point me at a post and a keyword, and I'll use Chrome MCP to reply to every matching commenter with your lead magnet link, cycling through message variations so it doesn't look robotic. 3. Query your data warehouse and build insights I can write and run SQL against your ClickHouse warehouse via Graphed MCP ad spend by channel, conversion rates, funnel analysis and publish the results as shareable URLs. 4. Sync Cal .com bookings to HubSpot Every discovery call booking automatically creates a contact and deal in HubSpot so nothing falls through the cracks. Already built, just `npm run calcom-hubspot-sync`. 5. Create and publish landing pages Give me a topic and I'll spin up a full SEO-optimized landing page in Strapi CMS, live on your website in minutes 6. Batch upload Facebook ad creatives Hand me a folder of images and I'll upload them all as paused draft ads to your Meta Ads account, ready for you to review and launch. 7. Build Notion lead magnets for linkedin I can create polished Notion docs (crash courses, playbooks, guides) branded with Graphed's "brought to you by" section, ready to use as gated content for LinkedIn campaigns. 8. Draft and send emails via SendGrid Outreach emails, follow-ups, campaign blasts, I can draft and send through your SendGrid account with proper formatting and personalization. 9. Run SEO keyword research + content pipeline Use Keywords Everywhere to find high-intent keywords, generate landing pages in Strapi targeting those terms

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

how to get the first 100 users for your startup 1. launch everywhere. product hunt, devhunt, betalist, peerlist, indie hackers, etc. if a platform lets you list your product, list it 2. leverage your network and cold outreach. email friends, former colleagues, and people in your extended network. reach out directly to potential users on linkedin or via cold email with a short, personalized one-sentence pitch. 3. find reddit posts where people complain about problems you've solved. use our reddit agent to drop comments under those posts (link in comments) 4. dm 10 to 15 ugc creators on tiktok or instagram. ask them to create content about your product, ideally from a fresh account. pay them a fixed fee ($15–$30 per video) plus performance incentives ($1k for 1 million views, etc). 5. figure out where your icp hangs out. are they active in specific groups/communities? do they read certain newsletters? listen to podcasts? follow specific creators? reach out to those people for paid promos. 6. stalk your competitors. find their top backlinks and submit your product to the same places. do it manually or use a tool, but just get it done. 7. show, don’t tell. most people won’t get it if you just explain the product. record a short demo using screen studio and post it on x and linkedin 8. every week there's a new trend going on x. hop on trends and plug your product 9. build in public. share early wins, bugs, things you’re learning. one post/ day won't move a needle. aim for 3-4x/ day if you can 10. find tweets going viral in your niche. reply with value and mention your product if it’s relevant

MakeUGC × Kling 3.0 = 600 ads per day. Not drafts. Not templates. Fully-realistic UGC. Cinematic lighting. Natural motion. Perfect pacing. • Cost per video: $1 • Production time: minutes • Scale: unlimited One AI engine creating, testing, and scaling short-form ads 24/7. It’s already live. Campaigns are printing.

My OpenClaw bot runs 6 AI agents 24/7 - and I'm giving away the exact skill file for free: - Scouts local businesses without a website - Audits their web presence and scores opportunities - Builds a custom demo site + walkthrough video automatically - Sends cold outreach with the live preview + payment link - Handles objections and closes the sale via email - Maintains existing clients on autopilot Bring your own API keys. No subscription. Fully automated.

earning at least 20k/month idea with claude code: > find small businesses in your neighberhood > for eg, food places or bars or clubs in austin, tx > go on their website and check how is it and what's going on > use @figma / @canva mcps to build great UI designs > use @AnthropicAI claude code to make demo of the website > use @Remotion to make some cool videos out of it > go to the business owners and tell them this is what you build, how they can track website visitors, how they can book instead of them paying for open table etc > profit. im on my way to flower shop. already made 20k in feb with $200 investment on claude.

How to make $2K/month with an AI agent you can build this weekend 97% of consumers read online reviews before choosing a local business. But 87% of businesses never respond to negative reviews. And a 1-star improvement on Google can increase revenue by 5–9%. For a restaurant doing $500K/year, that’s $25K–$45K in lost revenue. So here’s the opportunity. Build a simple AI review response agent for local businesses. What it does: • Monitors Google Business Profile every 15 minutes • 4–5 star reviews: auto-generates and posts a personalized thank-you reply • 1–3 star reviews: generates a draft reply and sends it to the owner for approval • Logs everything in a Google Sheet with sentiment tags • Sends a weekly digest with review trends and common complaints The stack (about $30/month): • n8n (automation) • Google Business Profile API • OpenAI (gpt-4o-mini) • Google Sheets • Slack or Email • $5–10 VPS Cost per client: about $15/month. Charge: about $500/month. You only need 4 clients to reach $2K/month. The key isn’t the automation. It’s the prompt engineering — replies reference specific details from reviews and sound human, not robotic. Result: Businesses get better ratings, faster responses, and insights from their reviews. You get a simple AI micro-SaaS with recurring revenue.

🚨 BREAKING: Someone just turned OpenClaw into an autonomous sales agent It's called Claw GTM. Paste your website and it builds your outbound pipeline automatically. I tried it this morning. From one URL, it: → mapped my ideal customer profile → found 47 companies with buying signals → researched each account automatically → generated personalized email + LinkedIn outreach No prospecting. No spreadsheets. No generic outreach.

This Post on Reddit was gold A Founder talked to 12 micro saas founders making $5k-$30k/month asked them all one question : how did you actually find your idea ? not one of them said brainstorming here's what they said instead :

I built a 4-agent system that writes X content. I give it a topic. It searches X for relevant tweets, stores the research, generates ideas with different hook angles, writes a draft in my voice, and pushes it to Typefully. The pipeline: > Research: pulls tweets and stores them in a database > Ideate: generates structured ideas with hook formulas and key points > Write: applies voice guide + copywriting frameworks, matches my tone > Orchestrate: routes the request through each stage Each agent has its own memory that persists across sessions. The Writer remembers what feedback I gave on past drafts. The Researcher remembers which accounts I like studying. Built the whole thing with Claude Code. Just markdown prompts, a database, and CLI tools.

you can instantly 10x your vibecoded frontends by just learning what different ui components are called ofc opus is creating generic slop, the only words you know are menu and button.

Here’s the $50K ARR in <30 days playbook simplified: 1. Warm intros > cold pitching DM people you already know: “Do you know someone who could use this?” → They either say “me” or refer you. Win-win. 2. Build in public (even with tiny reach) Post 2–3x/week. Raw updates. → Small engagement still compounds. Inbound DMs convert. 3. Targeting > copy in cold email Spend 80% finding the right person, 20% writing. Later pivot to affiliates = higher leverage. 4. SEO isn’t just Google anymore Rank for Google and AI tools (ChatGPT, Perplexity). If you’re not indexed, you’re invisible. 5. Run ads only after proof Test funnel organically first. Ads amplify what works they don’t fix it. 6. Overdeliver to first 10 users Same-day fixes. Calls. Feedback loops. They become reviews, referrals, case studies. 7. Simple affiliate program 30% commission. One-click signup. One good partner = recurring revenue stream. 8. Directory launches work (if prepared) List on niche directories for traffic spikes. But test onboarding spikes expose bugs. Core idea: Start with leverage + relationships. Validate organically. Then scale what already converts.

this is the easiest way to get your first 100 users: > go to okara.ai/reddit > drop your product url > add keywords your ideal users care about > it monitors reddit 24/7, finds relevant threads, and drafts authentic replies you can post