Lightspeed
@lightspeedvp · Global · joined 24 Jul 2009
Serving bold builders of the future. Not an offer to buy/sell securities or investment advisory services. Disclosures: https://t.co/NqUCVhdnhA
133 402Followers
2 010Following
9 789Posts total
534.3KViews on collected posts
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Pacing the Frontier: AI capability seems to be compounding faster than the industry's understanding of how to control it.
Some tech leaders are advocating for pacing AI. Others are pushing against it.
More on Lightwork this week:
→ @suno launched a new model in partnership htt
1.4K views · 7 likes
· 0 reposts · 3 replies
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29:46
Saving time and money is serious business. Just ask @tryramp.
Congrats @eglyman, @karimatiyeh and team on the UK launch!
1.7K views · 6 likes
· 0 reposts · 1 replies
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We’re doubling down on @raindrop_ai in its Series A, bringing the company’s total funding to $50M.
Agents can pass a team’s test cases and still fail in ways no one anticipated. What happens in production needs to inform how teams test their next release.
Raindrop Simulations,
9.2K views · 26 likes
· 3 reposts · 2 replies
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“ERP used to be a product companies would take on at Series B or later, when they had the available resources.”
“DualEntry is seeing much smaller companies, even seed companies, adopt its product to get better insights and the ability to segment their books.”
@seisler1 on how
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Today, we are announcing our Series A and a new product: @raindrop_ai Simulations.
We've now raised $50m from @CRV and @lightspeedvp to protect the world from agent failures, big and small. https://t.co/LMLgYcf4F2
142.9K views · 1.1K likes
· 79 reposts · 202 replies
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1:10
UK finance teams have waited long enough.
Ramp is now live in the UK.
Sorry we’re late.
https://t.co/zajnLsZtPJ https://t.co/TprtPXSLPR
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· 66 reposts · 64 replies
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1:29
Before @santinestea started @dualentry, he built his previous company to $100M in revenue across 20 countries.
Now, he's trying to solve the very problem that held his business hostage.
Santiago had prior issues reporting numbers during a nine-month Enterprise Resource Planning
1.1K views · 7 likes
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32:32
Why do open-weight models matter in the West?
Antoine Moyroud says "sovereign AI" has moved from a government debate to an enterprise control problem:
"If we were defining sovereign AI two and a half years ago, it was maybe through the lens of regulation and the EU AI Act." htt
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1:37
"Google invented the transformer. OpenAI brought it to market first."
Bucky Moore uses the analogy to describe how there may be a similar dynamic in AI agents. Startups [like Instinct] are willing to ship while incumbents are still debating the risks.
"Startups are always going
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2:58
We’re excited to continue backing Nuance Labs and lead their $50M Series A.
AI has learned to reason, write, and speak. But there is often still a gap in its emotional intelligence.
Nuance is building a foundation model designed to understand the subtle signals that make https:
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Pocket FM has shown how serialized fiction can travel across markets when stories are adapted for local audiences.
US revenue is accelerating at $390M+ ARR. France reached $10M+ ARR within 3 months and Germany $21M+ ARR within 11 months, all while listeners spend more than 150
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AI models are upgrading at a new speed.
OpenAI’s GPT-6 Astra model, released last week, follows a self-controlled “chain-of-thought” reasoning pattern that can evade certain kinds of monitoring.
The next value differentiator for improved models may be less about performance and
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36:26
Antoine Moyroud on Mistral’s evolution since Lightspeed’s seed investment:
“When we made the bet on the team, it was very much a research team.”
“It’s one thing to be an engineer and grow into a CEO and a leadership team. It’s another to go from research to engineering to https
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1:39
Lightspeed Partner James Ephrati explains Mistral's compute strategy:
"Mistral's deepest customers in financial services, defense, manufacturing and even the public sector are exactly the ones that need independence from the US clouds."
"Securing capacity for them is a https://
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1:34
INSIDE MISTRAL'S $3.5B SERIES D - LARGEST EQUITY ROUND IN EUROPEAN TECH HISTORY
@antoine_moyroud has been part of the journey since the seed check and James Ephrati currently sits on the board. @lightspeedvp has invested in every round since day one. They joined us for our first
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16:37
Today we're announcing over $9B in capital for a new family of funds — our largest raise in 25 years.
AI is rewriting the rules. We're backing the founders building what comes next. https://t.co/vTtHesY0U3
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@lightspeedvp @Nasdaq @BitmagicAI @brilliantlabsAR @getcartwheel @eggscapegame @ego_ai_ @emptyvesselplay @k_idofficial @layer_ai @LudeoGG Super happy to see @TalofaGames on there! 💪
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Check it out—The 2025 Game Changers in Times Square! Thank you to @Nasdaq for congratulating the winners on the big screen:
@BitmagicAI, @brilliantlabsar, @getcartwheel, Cosmic Lounge, @eggscapegame, @ego_ai_, @emptyvesselplay, Giant Skull, @k_idofficial, @layer_ai, @LudeoGG, ht
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1:30
Against accounts of the same size
15 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.
Median views3 892this account5 983median for 100K–1M
Reach, %2.92%this account1.49%median for 100K–1M
Engagement, %0.47%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 3 892 | 5 983 | 0.65× |
| Reach (views ÷ followers) | 2.92% | 1.49% | 1.96× |
| Engagement rate | 0.47% | 0.93% | 0.51× |
Others in this range → Compare with another account → How these benchmarks are built →
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
4.1K11 Sep
4.1K
11.2K
3.9K
2.4K14 Sep
1.6K
1.3K
1.1K
186.5K15 Sep
142.9K17 Sep
2.3K
9.2K
1.7K18 Sep
1.4K
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
0.46%11 Sep
0.39%
0.47%
0.57%
1.71%14 Sep
0.70%
0.22%
0.80%
0.65%15 Sep
1.03%17 Sep
0.17%
0.36%
0.42%18 Sep
0.79%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes68.1%3 018 in total
Reposts4.9%216 in total
Replies8.1%360 in total
Quotes2.4%105 in total
Bookmarks16.5%732 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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