In a startup, you need to hire people who are passionate about the mission and can pivot as fast as the business does.
🤝 Good Morning and Welcome Back to Good People 🤝
A weekly newsletter for 36,000+ elite engineers, founders, and investors who turned off love island to watch the Trump v Musk breakup unfold.
Well hey there 👋
I’m Ryan, Head of Marketing here at Coastal x Good People. I just wanted to make a quick announcement, then on to regularly scheduled programming.
After having conversations with nearly 150 of you these past 6 months (thank you if you participated), it’s become clear that we have the chance to build something special with you all: an exclusive community for elite engineers who are shaping the startup ecosystem.
What does that mean?
Connecting with other engineers at early-stage startups.
Monthly Q&As and technical deep dives with founders who've been in your shoes.
Intimate dinners, office visits, and the occasional happy hour in SF & NYC.
The catch? We're keeping this small and invite-only. Quality over quantity. Good people knowing good people, as we like to say.
If this sounds like something you'd want to be part of, let's chat.
Talk soon,
Ryan
P.S. – If you know another engineer who'd be perfect for this, feel free to forward this their way. Good people know good people, after all.
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📆 This Week in the Newsletter 📆
Happy Friday! We’ve got 8 hotty startys (all the kids are calling them that) listed below, if you find one you like let us know and we’ll connect you!
💸 Notable Fundraise
Graphite raises $52M and launches AI code review agent Diamond. Generative AI is accelerating coding—but what happens next? How do you ensure those AI-generated changes are reviewed, tested, and deployed safely? Learn how Graphite is leading the way with an AI-powered code review platform that gives developers feedback on every code change in seconds. Check it out →
👨💻Website Of The Week
Not sure what to build? You’re in luck! Straight from the startup-ideas-king himself, Greg Isenberg, comes Ideabrowser. Get ideas for profitable startups, trending keywords, and go-to-market tactics, powered by data. Start seeing opportunity. Build Something People Want →
🎧 What We’re Listening To
What if the world’s most connected tech investor handed you his mental playbook? Elad Gil, an investor behind Airbnb, Stripe, Coinbase and Anduril, flips conventional This Startup on its head and prioritizes market opportunities over founders. Listen Here →
Remember to forward this email to any friends who you think have what it takes to work at a tier-1 VC Backed Startup.
👇 Alright on to the good stuff 👇
🔥 Hot Startups Hiring🔥
Startup #1
🏙️ Hiring Location: NYC, SF
🛠️ Industry: AI, IT
💸 Round/Funding: Series A, $70M
🏦 Investors: 8VC, Angels, General Catalyst
🙏🏼 Mission/Vision: Titan is an Applied AI Lab building agents to transform the IT Services sector.
🏗️ Product: They’re in stealth soooo they can show you live
📣 Talking Points:
$70M+ raised in stealth, backed by General Catalyst, 8VC & top angels
Transforming IT services with AI agents — first acquisition pushes revenue to $50M+
Small, hands-on founding team (4 people), working mostly in-person from NYC or SF
🧑💻 Roles: Full Stack Engineer; AI Engineer; FDE
💸 Salary: $150-250k
🚙 Days Required Onsite: 5
Startup #2
🏙️ Hiring Location: NYC
🛠️ Industry: AI, Healthcare
💸 Round/Funding: Seed, $11M
🏦 Investors: Pear VC, a16z
🙏🏼 Mission/Vision: Mission is to multiply the world’s healthcare capacity by building an end-to-end medical practice.
Lead with humility. Be kind and share ownership of wins and losses.
Do excellent work.
Solve problems that will meaningfully affect the future of the world and aim to build a healthcare system that is truly patient centric.
🏗️ Product: Offers patients unlimited access to high-quality, personalized medical advice from expert physicians by building an end-to-end medical practice, underpinned by AI.
Patients can message a doctor with any medical question and receive a scientific, accurate, and empathetic response within minutes.
An AI-native “clinician cockpit,” which enables physicians to incorporate the patient’s medical record, specialty medical guidelines, and academic journal articles into every answer within seconds
📣 Talking Points:
$11M seed backed by a16z & Pear VC — early traction with top investors and national expansion underway.
AI-native Medical Network built by physicians & technologists — giving doctors superpowers to deliver fast, personalized care at scale.
Early-stage, high-impact team (12 total, 6 eng) — based in NYC, building at the intersection of healthcare and cutting-edge AI.
🧑💻 Roles: Senior Software Engineer
💸 Salary: • $140-220k
🚙 Days Required Onsite: 3
Startup #3
🏙️ Hiring Location: NYC
🛠️ Industry: AI, Legal
💸 Round/Funding: Series A, $24M
🏦 Investors: Liquid2, Redpoint, Sequoia, Tony Xu (Doordash CEO)
🙏🏼 Mission/Vision:
Mission: Build the most trusted, tech-powered legal brand for everyday people — starting with transforming Personal Injury law through automation, AI, and operational excellence.
Vision: To become the de facto brand consumers turn to the 10–15 times in their life they need legal help — replacing today’s fragmented, overpriced, and outdated system with a modern, transparent, and consumer-first experience. Whether it’s immigration, personal injury, employment disputes, or family law.
🏗️ Product: This Startup is reinventing the Personal Injury legal process end-to-end using generative AI, intelligent agents, and automation. Instead of selling point tools to lawyers (like EvenUp), This Startup combines software + services to operate like a tech-enabled law firm, delivering:
Smart case intake and setup from emails, calls, attachments, OCR & LLM pipelines
Medical record and police report acquisition via voice and web agents
Demand letter generation, medical chronologies, insurance claim filing
Full workflow rails to automate matter lifecycle tasks and minimize human error
📣 Talking Points:
This Startup is using the playbook that built modern marketplaces — the same minds behind DoorDash are now reimagining law, an industry still stuck in the 1990s.
Everyone’s chasing SaaS revenue from law firms. This Startup is chasing consumer trust — positioning to become the Stripe / Amazon of legal help for real people.
Most competitors offer a single feature (e.g., demand letters). This Startup is building the entire infrastructure — a vertically integrated legal ops engine from intake to settlement.
🧑💻 Roles: Senior Back End; Senior Full Stack; Artificial Intelligence/Machine Learning
💸 Salary: $150-225k
🚙 Days Required Onsite: 4
Startup #4
🏙️ Hiring Location: NYC
🛠️ Industry: AI Models
💸 Round/Funding: Seed, $3.1M
🏦 Investors: 776 (Alexis Ohanian), Abstract, Gary Vaynerchuk, Inspired Capital
🙏🏼 Mission/Vision: Our mission is to accelerate the development of autonomous AI agents. “We are the data engine behind the training of AI agents at top 5 AI labs.
🏗️ Product: “Training gyms for AI agents”
A pretend app where AI can practice doing tasks (making a spreadsheet) so it can learn and get better over time.
We build a platform for training gyms – the labs use 100s of these gyms to train their agents.
📣 Talking Points:
Training gyms for AI agents” — simulation infrastructure that helps frontier models actually learn by doing
$1M+ ARR in 2 months, with contracts at top 5 AI labs — huge early traction in a massive emerging category
Founding engineer opportunity — full ownership, direct access to the founder, and a chance to shape the future of autonomous AI from Day 1
🧑💻 Roles: Founding Engineer
💸 Salary: $175k+ / $200k+ / $150k
🚙 Days Required Onsite: 5
Startup #5
🏙️ Hiring Location: SF
🛠️ Industry: AI, SaaS
💸 Round/Funding: Seed, $6M
🏦 Investors: SV Angel, Thrive Capital
🙏🏼 Mission/Vision: This Startup is automating all of the mundane, repetitive workflows that keep enterprises running with AI agents that are deeply integrated into all business systems
Starting with IT & HR, where we’re seeing 50%+ automation, expecting to get closer to 70% this year
10 year plan is to build the control pane that keeps enterprises running, without humans needing to do the busy work
🏗️ Product: AI agent that has deep knowledge of the organization its operating in (data integrations into every system)
Can take action across all systems & apps
Understands company processes and executes tasks the same way a human in that role would
All integrated into Slack, so employees can have their issues resolved directly where they work
📣 Talking Points:
This Startup is building AI agents that automate the repetitive, behind-the-scenes workflows that keep enterprises running—starting with IT and HR. Customers are already seeing 50%+ task automation, with a clear path to 70% this year.
Launched just this year and already working with top-tier tech companies (think Scale AI, Webflow, Lattice). This Startup has a 100% POC win rate and literally can’t keep up with demand.
Backed by $6M from top-tier investors like Thrive Capital and SV Angel.
🧑💻 Roles: Full Stack Engineer; AI Engineer
💸 Salary: N/A
🚙 Days Required Onsite: 4
Startup #6
🏙️ Hiring Location: SF
🛠️ Industry: AI
💸 Round/Funding: Seed, $100M
🏦 Investors: Felicis, Kleiner Perkins, Lightspeed, a16z
🙏🏼 Mission/Vision: This Startup is an open platform where everyone has access to leading AI models and can contribute to their progress through real-world voting and feedback.
To bring the best AI models to everyone, and to improve them through real-world community evaluations.
Create an open space to try all the best AIs and shape their future through collective feedback.
🏗️ Product: This Startup is an open-source platform where anyone can test, compare, and vote on the world’s best AI models — helping shape a public leaderboard that’s already being used by 1M+ people/month
📣 Talking Points:
Stealth startup startup created by UC Berkeley researchers (SkyLab) and the previous Co-Founder of Databricks
Platform: This Startup — 1M+ monthly users evaluating top AI models side-by-side
Trusted by all major AI labs (OpenAI, Google, Anthropic, xAI)
🧑💻 Roles: Full Stack Product Engineer; Security Engineer; Senior Product Engineer
💸 Salary: N/A
🚙 Days Required Onsite: 3
Startup #7
🏙️ Hiring Location: SF, South Bay
🛠️ Industry: AI, SaaS
💸 Round/Funding: Seed, $23M
🏦 Investors: Coatue, GTM Capital, Karthik Narsimhan, Tal Shaked, The Anthology Fund, Vinod Marur
🙏🏼 Mission/Vision: This Startup is on a mission to unlock real-time, self-service data insights for enterprises by building a cutting-edge AI platform that seamlessly handles structured and unstructured data. Their vision is to make trustable, agentic data access the new normal—replacing bottlenecks with autonomy and speed across decision-making teams.
🏗️ Product: This Startup is building the agentic AI platform for enterprise data—bringing real-time, explainable insights directly to the fingertips of non-technical users like ops leaders, product managers, and execs. The system spans internal structured data (think Snowflake/BigQuery) and unstructured knowledge (Confluence, Slack, Notion, etc.).
Engineers at This Startup tackle:
LLM grounding + retrieval augmentation at scale
Self-serve, low-latency querying over massive datasets
Robust infra for multi-modal enterprise data access
📣 Talking Points:
Built by AI legends – From ex-Google Search to Rubrik, Tagtile (acq. FB), AWS, Glean, and Databricks—This Startup’s team has built infrastructure powering trillions of queries.
Tech with purpose – Solving real-world data pain for CDOs and CIOs. The AI actually works—and doesn’t hallucinate.
Your fingerprints will be everywhere – You’ll help define the product roadmap, ship core systems, and scale to Fortune 100 usage—while the company is still lean and early.
🧑💻 Roles: Full Stack Engineer; Front End; Back End; Machine Learning
💸 Salary: 170-250k / 200-250k / 150-200K
🚙 Days Required Onsite: 5
Startup #8
🏙️ Hiring Location: SF
🛠️ Industry: AI, Legal
💸 Round/Funding: Series A, $60M
🏦 Investors: Lightspeed, Menlo Ventures, a16z
🙏🏼 Mission/Vision: This Startup is the leader in AI for Plaintiff Law, helping them take on more cases and increase revenue
🏗️ Product: This Startup is legal AI for plaintiff litigation firms. She handles the heavy lifting of a case - from intake through resolution. Built on top of a case intelligence engine, This Startup ingests all case information from legal business and communication systems and uses it to perform a wide variety of legal work including document analysis and legal document drafting.
📣 Talking Points:
This Startup is an end-to-end, vertical AI platform for plaintiff litigation firms, built on top of a case intelligence engine - helping these firms transform their business operations
Massive Series A led by T1 investors (a16z, Lightspeed, Menlo Ventures)
High-velocity commercial momentum: 8x’d ARR → multiple millions in 6 months
🧑💻 Roles: Senior Full Stack; Senior Back End; Staff Software Engineer; Artificial Intelligence/Machine Learning
💸 Salary: $200 - $300K+
🚙 Days Required Onsite: 3
💸 Startup Engineering Compensation Calculator 💸
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