Eric Glyman ✓
@eglyman · New York, NY · joined 16 Oct 2014
Co-Founder at Ramp (@tryramp). New York City. Previously co-founded Paribus (Acq. by Capital One).
376 197Followers
1 990Following
2 165Posts total
5.5MViews on collected posts
Derniers posts
Recherche de nouveaux posts…
Ramp made a real Broadway musical starring Billy Porter, Billy Zane and Jessica Billy Vosk.
It’s a show about bills. By Bills. Starring Bills—with original songs, full choreography, and an actual Broadway playwright.
In the 1950s and ’60s, America’s biggest companies staged htt
629.7K views · 1.1K likes
· 106 reposts · 103 replies
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0:16
@eglyman Can @stripe get a 7B refund? https://t.co/Bt9I2cuq4d
3.6K views · 11 likes
· 0 reposts · 0 replies
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Right now, https://t.co/ckcgnQn6cI’s traffic is compounding at roughly 34% per weekday. It’s early, but the product is useful and the growth curve is as steep as any I’ve seen.
212.9K views · 552 likes
· 31 reposts · 25 replies
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the frontier just got more affordable.
we teamed up with @OpenAI: GPT-5.6 Sol is 50% off on router through September 18.
one endpoint, every model, each request routed to the best fit. so every AI dollar goes further.
start saving in a couple minutes at https://t.co/ckcgnQn6cI
107.9K views · 517 likes
· 25 reposts · 26 replies
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in the end, AI comes down to one number: return on what you spend.
https://t.co/ckcgnQn6cI raises it by delivering the right model for every request. our customers are spending 40% less for the same work.
proud of @vral and the @tryramp team, eager to work hard for customers.
246.1K views · 468 likes
· 23 reposts · 23 replies
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The @NVIDIAAI team delivered a model and routing library that matches frontier performance all while cutting our observed costs by 59% and runtime by 32%.
Really remarkable, never been a more fun time to be building applications.
54K views · 321 likes
· 23 reposts · 11 replies
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@eglyman wait this is so cool we should build one for our Gong calls at Notion
260 views · 6 likes
· 0 reposts · 1 replies
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@eglyman I have something similar at @WorkOS but it's a summary of reported issues from customer feedback
At our scale, every edge-case becomes a major issue. Never a dull moment 😂 https://t.co/0JlX4CudhP
999 views · 9 likes
· 0 reposts · 1 replies
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One of our more useful internal channels is gong-love. Every night a sentiment bot reads our customer calls to surface themes and quotes that bring calls to life
It helps sellers articulate impact in customers' own words, share feedback to builders and make our marketing better
146.8K views · 547 likes
· 9 reposts · 35 replies
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@eglyman that's our CFO 💛 https://t.co/6eBcWiiPvI
1.3K views · 23 likes
· 0 reposts · 1 replies
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Also, this page by @pontusab and @viktorhofte is just delightful (and incredibly informative on how you can lower your AI costs too): https://t.co/tlTL9yJfqO
6.8K views · 35 likes
· 0 reposts · 1 replies
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AI is extremely good at spending your money very quietly.
our own token spend went from a rounding error to more than 10% of payroll in a year. one week in May we burned through $1.5 m. our CFO didn't love telling me that number, and he really didn't love telling the internet. h
337.4K views · 689 likes
· 81 reposts · 55 replies
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1:26
Thank you @nmasc_ and @RebeccaTorrenc5, appreciate the time and care you both put into this one https://t.co/Y6lLhutPTr https://t.co/ojGgirJTeM
14.8K views · 39 likes
· 1 reposts · 2 replies
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@eglyman Not surprised, we started using Ramp and it’s just leagues better than the alternatives. Love when great products win.
199K views · 474 likes
· 31 reposts · 32 replies
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@eglyman Thanks for sharing Eric. Today is a particularly humbling day to see all my hard work pay off as an early investor in Ramp. https://t.co/LTCSA6jIT1
15.1K views · 74 likes
· 1 reposts · 2 replies
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1:00
Today, Ramp raised another $300M at a $32B valuation.
In the past year our revenue has doubled to over $1B, growing 10x faster than the median public SaaS.
We all know money talks — we're teaching it to think.
Getting big no longer means getting slow. https://t.co/WL96nH8wtl
3.4M views · 2.8K likes
· 168 reposts · 237 replies
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Face aux comptes de taille comparable
15 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. en dessous de ses pairs à la fois en portée et en engagement.
Vues médianes3 307ce compte5 983médiane pour 100K–1M
Portée, %0.88%ce compte1.49%médiane pour 100K–1M
Engagement, %0.54%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 3 307 | 5 983 | 0.55× |
| Portée (vues ÷ abonnés) | 0.88% | 1.49% | 0.59× |
| Taux d'engagement | 0.54% | 0.93% | 0.58× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
99910 Aug
1.9K
260
54K11 Aug
246.1K19 Aug
107.9K20 Aug
212.9K26 Aug
3.6K
3.3K27 Aug
566
629.7K10 Sep
1.3K
696
1.3K
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
1.00%10 Aug
1.25%
2.69%
0.66%11 Aug
0.21%19 Aug
0.54%20 Aug
0.29%26 Aug
0.30%
0.24%27 Aug
0.53%
0.20%10 Sep
1.26%
2.73%
1.65%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes68.2%7 971 in total
Reposts4.3%504 in total
Replies4.8%561 in total
Quotes2.6%308 in total
Bookmarks20.0%2 339 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
21 Sep
Daily snapshots since 21 Sep 2026; the dashed line is the starting count.
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