Susa Ventures ✓
@SusaVentures · San Francisco, CA · joined 09 Jun 2013
Since 2013, we've partnered with over 100 companies - 10% have become unicorns.
28 514Followers
470Following
869Posts total
129KViews on collected posts
Ultimi post
Cerchiamo nuovi post…
Stord announces a $250 million Series F at a $3 billion valuation.
@chadbyers sits down with @seanhenry to discuss the journey.
Onwards. https://t.co/BUvg0JhFIB
3.7K views · 21 likes
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@SusaVentures Your work deserves more reach 🌟 DM me
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Eight years ago, Newfront Insurance started in the Susa Ventures offices.
Last week, they signed a definitive agreement to be acquired for $1.3B.
2017: 3 people, $0 in premium, $0 in revenue.
2025: 700 people, $3B in premium, $250m in revenue, profitable.
Spike and Gordon,
2.8K views · 27 likes
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9/ Manoj Soundararajan is an Agent Product Manager at Decagon, where he focuses on building intelligent AI agents. Previously, he was at Menlo Ventures, backing early-stage AI and software startups. Before that, he held product and sales roles at MainStreet and founded Covalent h
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10/ Anaïs Killian studied cs and math at Harvard and enjoys learning about AI and machine learning. This summer, she lived in a hacker house with 10 other interns in SF! Anaïs is deeply passionate about mentorship and education, and loves learning about venture. @anaiskkillian ht
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8/ Chappy Asel is a lifelong builder who began coding at twelve, creating one of the world’s top homework apps before joining Apple, where he worked on the teams behind the Vision Pro and early prototypes of Apple Intelligence – each step driven by a passion for building on https
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7/ Dario Soatto is a CS & Economics major at Stanford. Previously, he was on Lux Capital’s investment team, and he is currently building AI agents at Context AI. He enjoys building random apps, thinking about technology, working with awesome people, and trying crazy new things. h
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6/ Daniel Bashir is an engineer at OpenAI, where he works on post-deployment safety. He previously worked on ML compilers at AWS and on computer vision at SambaNova Systems. He has spent much of his spare time running an online magazine called The Gradient, where he writes and ht
2.4K views · 11 likes
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4/ Rich Zou is head of growth at Delphi in SF. Born in NYC and raised by a single immigrant mom, he started working young at his mother’s restaurant as a dishwasher, selling snacks and sneakers, and later playing professional League of Legends. He dropped out of Northeastern to h
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5/ Emily Han is at Stanford studying CS (AI & Systems). She loves design/product building at startups and working on AI infrastructure. In her free time, she loves organizing/participating in hackathons, drawing, and reading. She works at Modal on the inference team and hosts htt
2.4K views · 16 likes
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3/ Hamza Mostafa is currently spearheading post-training research at a stealth startup in the agents space. He is currently on leave from UWaterloo studying CS. Previously, he was at OpenAI working on ChatGPT Agent 0 to 1. Before that, interned at Whatnot and Verkada, and exited
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2/ Sophia Kianni is an Iranian-American entrepreneur. She is the founder of Phia, an AI shopping agent backed by Kleiner Perkins. She hosts The Burnouts, one of the fastest growing female business podcasts. She graduated from Stanford University and is the founder of Climate http
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Today's Apprenticeship Looks Different
Read more here: https://t.co/MCxJBBMSQ1 https://t.co/oqb3mmV7jw
3K views · 11 likes
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1/ Chirag Mahapatra is Director of Engineering at Mercor, where he collaborates with leading researchers to advance large language models through high-quality datasets and reinforcement learning environments. His work focuses on structured feedback, evaluation benchmarks, and htt
3K views · 15 likes
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Why Are we Doing This?
As capital becomes homogenous talent will be the only differentiator https://t.co/TcsZ2hFaop
3.3K views · 7 likes
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Introducing the 10 fellows joining us for the 2025-2026 Susa Venture Fellows cohort 🧵👇 https://t.co/2ujSjyUkXw
78.4K views · 276 likes
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Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
2.4K18 Dec
2.7K
2.4K
2.1K
2K
2.1K
2.3K
2K
2.8K22 Dec
8.4K7 Apr
217 Apr
227 Apr
2K20 May
3.7K26 May
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.71%18 Dec
0.70%
0.50%
0.67%
0.45%
0.47%
0.43%
0.96%
1.51%22 Dec
0.32%7 Apr
0.00%17 Apr
0.00%27 Apr
0.50%20 May
0.81%26 May
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes67.8%520 in total
Reposts2.7%21 in total
Replies9.6%74 in total
Quotes1.4%11 in total
Bookmarks18.4%141 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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