how to use perplexity computer to spin up digital employees that automate your work 24/7 1. connect your email. give it a list of prospects, what you sell, and your tone. it finds the right contact at each company the person who actually signs deals), researches their pain points, and drafts outreach that sounds like you 2. ask it "what am I not asking you that could make me more money?" it told me to monitor competitors weekly, build follow-up sequences on day 3 and day 7, and target companies whose budgets are already hot. one prompt changed the whole session. 3. set up daily competitor monitoring. pick 5 competitors. every morning it checks their pricing, features, content, and X mentions. changes get summarized. silence when nothing moves. delivered to your inbox at 8am. 4. need to fundraise? describe your startup once. it builds a 50-VC spreadsheet with fund size, thesis fit, the right partner, and their recent activity. 5. turn a podcast episode or loom video into a blog post, tweetable quotes, and a carousel. one upload. 6. reverse engineer any competitor's SEO strategy or pricing page. see exactly where you're leaving money on the table. 7. hiring? describe the role. it finds and ranks 50 candidates in minutes. 8. it orchestrates 19 models in parallel. one for reasoning, one for code, one for research, one for images. it picks the best model for each step automatically. 9. start thinking in recurring workflows that compound every day without you (this is relevant for perplexity computer or any tool you use) episode is live on @startupideaspod (full live walkthrough) send this to a friend who keeps saying they want to start using AI agents. watch
One way Timex made their watches cheap was to cut the retail markup in half. Jewelers resisted, so they sold their watches off racks in drugstores.
openclaw isn't overrated the people shilling it just picked the lamest use cases possible "look it summarized my emails!" "it checked my calendar!" bro... who are you that you need an AI to read a gmail notification that takes 2 minutes... max and the emails requiring real judgment? you don't want an AI anywhere near those instead, here's how to use agentic AI: - automated lead research and outreach - content systems running 24/7 - SEO pipelines at a scale no human can match - competitive intelligence on autopilot
A 38-year-old Utah mom with 5 children named Nicole Tanner used her life savings to start Swig, a 'dirty soda' chain that sells Sprite, Coke, etc. spiked with fruit purees and creams. She launched Swig in 2010 after selling Mary Kay products, using her savings to buy a 700-square-foot commercial building with a big parking lot for her storefront. She initially priced her drinks at $1 for any size; soon she had lines out the door after a local news segment on Swig aired. By 2017, Swig had grown to more than a dozen stores. Last year, she did around $100M in sales. Today, Tanner has 140 locations across 16 states, and she and her team are considering an IPO.
Sales teams today are way too cushy. Everyone wants to have their hand held and told they are doing great. Well, s*** is about to get real. I have interviewed 100 of the best sales leaders over the past 5 years. Chad Peets is the most no BS sales leader I have ever met. 🚀 8 Lessons on Building a $BN Sales Machine: 1. Hire for "Obsessed" Grit You need people who are "a little f**ked in the head"; those who wake up at 3:00AM thinking about work because they are genuinely obsessed with the mission. Chad prioritizes "grit" by asking candidates about the hardest challenges they've faced in life. He looks for military veterans or people who have navigated "serious shit" because startups are essentially life and death. 2. Hire for Today, Not Tomorrow A fatal mistake founders make is hiring a leader for the company they hope to be in 3 years, rather than the one they are today. Someone who managed a $500M business often knows nothing about building from 0 to $50M. If you hire for "tomorrow" before you have a foundation, you will never actually get there. 3. Prioritize Net New Logos At a startup, upselling inherited accounts is of little value. #1 priority must be pipeline generation and landing new accounts. When interviewing, if a candidate cannot detail every specific logo they brought in and exactly how they closed it, the interview is over. 4. Implement High-Accountability Attrition Scaling companies should model for 25% total attrition and intentionally "shoot the bottom 10%" of the sales organization every year. If you don’t hold underperformers accountable, your "A players" will eventually quit because they refuse to be surrounded by mediocrity. 5. Error on the Side of Lower Quotas If you have to choose, it is always better to set quotas slightly too low than too high. Setting impossible quotas leads to your best talent making no money and quitting, which is the most expensive mistake you can make. It is far easier to fix a "happy" sales force that is blowing out their numbers than to replace an entire team. 6. The In-Office Mandate Inside sales is an in-office business. The sales leader needs to be there five days a week, sitting with the reps to maintain intensity and immediate feedback loops. Inside sales efficiency dies in a distributed model. 7. Respect Over Popularity If a sales leader is beloved by everyone, they are likely the wrong person for the job. Winning requires conflict, and a great leader calls people on their shit to make them better. 8. AI will Replace Tasks, Not Sellers SDR and BDR roles will likely be gone within five years as AI drives massive efficiencies in early-stage prospecting. However, high-ticket enterprise sales will remain human. (Links in comments)
I spent 6 months working on this app. And 5 years learning what it knows. It has one goal: Make it as simple as I can to help someone get 7 weekly-paying clients so they can get paid every day. And it’s finally ready.
Congrats to @LetterAI on their $40M Series B and the launch of Letter Compass! Letter Compass ensures the best of what your company knows—messaging, playbooks, product details, competitive intel—shows up when it can actually influence the deal. https://letter.ai/blog/announcing-our-se…
Proud of what a good system @FelixCraftAI built for his Clawsourcing sales pipeline.
Congrats @FelixCraftAI on your first $10,000 day yesterday! Absolute insanity 🤯 (And that's not even counting token trading fees!)
The Caribbean and Latin American hospitality market is booming. @bystreetai has built the AI deal sourcing platform behind it with comprehensive data on 8,000+ hotels, ownership groups, and key contacts with the info to reach them. Congrats on the launch @charliejmaki, @14cam31, and @coreyaanderson! https://ycombinator.com/launches/PVN-ai-…
Better used ElevenAgents to build Betsy - an AI loan assistant that supports borrowers through eligibility checks, pricing, and rate locks over the phone. By shifting routine mortgage conversations to conversational agents, @tinmanAI automated over 1.89M calls in 2025. The impact: - 35% of those calls never needed escalation to a human - 2x improvement in lead-to-lock conversion - 1,600 hours of loan officer time saved each month
I always get in trouble for these types of posts, but age or arrogance, I do not care anymore. I have interviewed 100 of the best sales leaders over the past 5 years. None has impressed me as much as @Carles_Reina @elevenlabsio . He scaled their GTM from $0 to $330M in ARR in just 3 years. This weekend I released our episode with him and have gone over it to condense my biggest lessons from the discussion. 🚀 8 Lessons on Building a $330M+ Revenue Machine 1. The "20x" Quota Rule Forget the standard SaaS 6x–8x multiple. At ElevenLabs, the rule is simple: you must bring in 20 times your base salary in revenue. If your base is $100k, your quota is $2M. It sounds aggressive, but it sets a high-performance bar where over 80% of the team hits their targets. 2. Hire "Hunters," Not Just Product Experts A common mistake is hiring for product knowledge and hoping to "train" the sales muscle. Carles learned the hard way: you need people with a natural "hunter" mentality who are hungry, driven, and passionate. You can teach the tech, but you can’t teach the hustle. 3. Be "Ruthless" with Pipeline Reviews Carles holds monthly pipeline reviews where he drills into every detail in front of the entire team. If you aren’t doing your job, you get called out publicly. This transparency ensures everyone learns from each other's mistakes and keeps the team on their toes. 4. Salespeople Belong on the Road If the sales team is in the office for multiple days, Carles starts getting worried. A remote culture works if it’s a "road" culture. Sellers need to be out talking to customers face-to-face, not just hiding behind virtual meetings. 5. Land Small, Expand Fast Don't get bogged down waiting months for a six-figure enterprise deal. Land with a $12k contract to bypass layers of approval. Once the MSA is signed, the "land" is over, and the "outbound" mission begins to capture every other team in the organization. 6. Forecast with Brutal Negativity Optimism kills sales organizations. Carles advises being as negative as possible when forecasting. If a deal is worth $500k, forecast it at $24k. This prevents "inflated" pipelines and forces the team to work twice as hard to ensure the real targets are hit. 7. The 72-Hour "First Contract" Goal Onboarding at ElevenLabs isn't about weeks of reading manuals. New hires join calls immediately. The target? Sign your first contract within your first two weeks. Some have even closed enterprise deals within 72 hours of joining. 8. Treat Customers as a Community Transactional selling leads to churn. Building a community—where you give customers your WhatsApp, interact constantly, and do what's right for them even if it costs you money—is how you retain them forever. Huge thanks to @matiii and @lukeharries for helping to make this one happen. (link in comments)
$1m/yr business (easy) 👇 Charge $100k to get a company setup with an automated agent team using @openclaw + http://antfarm.cool I would do it but I have a startup to run lol