Chris Barber ✓
@chrisbarber · joined 18 Jun 2013
Data, compute. Great startups: https://t.co/nuG9RPqR10 RL & data: https://t.co/hceNvJcdqG I read DMs. Highlights: https://t.co/EgqEFGtwaR
14 998Followers
1 460Following
2 799Posts total
1.5MViews on collected posts
Últimas publicaciones
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what are the main products in the personal/professional assistant space?
more professional
- chatgpt work
- claude cowork
- claude tag
- grok bot
- manus
(and claude code and codex)
more personal
- town
- tomo
- instinct
- ollie
- pallie
drafted this 2x2, right axes? https://t
18.1K views · 103 likes
· 7 reposts · 39 replies
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@chrisbarber lightmatter being higher than ayar labs really makes you think abt how company PR affects judgement of the general public
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Thanks to: @meia_alsup, @jparkjmc, @herbiebradley, @danielrupawalla, @chris_j_paxton, @activelifetribe, @gabrielnoya7, @tejessrivalsan, @phillipyan, @sensho, @4lili_lili4, @ryanhu20, @bertgodel, @anandnk24, @sudoraohacker, Ashish Tondwalkar, @dlbydq, @RajivDattani,
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Thanks to @andrawesbahou, @AveryLamp, @aranibatta, @insane_analyst, @madhavsinghal_, @varunshenoy_, @tomcat_esq, @jukan05, @jaygoldberg, @BenBajarin, @neilmovva, @lithos_graphein, @nickrubin, @realOliverStark, @matthewjsargent, @LeslieNooteboom, @divyahansg, @divsksna,
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45. Lamb Labs (1): Thomas Lanning, Niki Kotecha
46. Lambda (1): @stephenbalaban, Michael Balaban
47. Lumilens (1): Ankur Singla
48. Mesh Optical (1): Travis Brashears, Cameron Ramos, Serena Grown-Haeberli
49. Normal Computing (1)
50. Oak Lab (1): Richard Sutton, Khurram Javed
51.
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18. xLight (3): @xLight_inc, @schudub, Nicholas Kelez
19. Aalo Atomics (2): @AaloAtomics, @MattLoszak, @yasir_fission
20. Corintis (2): Remco van Erp, Sam Harrison
21. Fab2 (2): @Fab2, @szeloof, @jimkxa
22. General Matter (2): @ScottNolan, Drew DeWalt, Lee Robinson
23. Ornn (2):
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Founders and vote counts:
1. MatX (10): @MatXComputing, @reinerpope, @MikeGunter_
2. American Terawatt (8): @am_watt, @atroyn, @_ricky_mo, @rslparker, @aranibatta
3. Lightmatter (6): @LightmatterCo, @theanalognick, Darius Bunandar, Thomas Graham
4. Modal (6): @modal,
3.7K views · 16 likes
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I asked people: "which AI supply chain startups (compute, power, chips, datacenters) valued at $10b or less are most interesting?"
10 votes: MatX
8: American Terawatt
6 each: Lightmatter, Modal, Prime Intellect
4 each: Valar Atomics, Wafer
3 each: Ayar Labs, d-Matrix, Gimlet htt
118.8K views · 431 likes
· 36 reposts · 34 replies
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Thanks: @tejessrivalsan, @phillipyan, @sensho, @4lili_lili4, @ryanhu20, @mykytamudryi, @bertgodel, Ashish Tondwalkar, @dlbydq, @RajivDattani, @splicewiring, @alisabets, @evan_wineland, @DanielUng19, @findporpoise, @tnachen, @theycallmeMohan, @rronak_, @iamashtonchew, @AKGrenier,
2.1K views · 13 likes
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Thanks to @ybenpan, @aranibatta, @SeanZCai, @madhavsinghal_, @varunshenoy_, @max_spero_, @astridwilde1, @xdotli, @madiator, @amit05prakash, @neilmovva, @nickrubin, @matthewjsargent, @LeslieNooteboom, @divyahansg, @AlfredoAndere, @jayparth_, @pranamanam, @Thom_Wolf, @gpuemi,
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51. Phinity Labs (1): Sonya Jin
52. Plato (1): @robfarlow, Pranav Putta
53. Polymath Labs (1): Dylan Ma, @narenyenuganti
54. Precigenetics (1): Parmita Mishra
55. Prolific (1): Phelim Bradley, Ekaterina Damer
56. Quesma (1): @jakozaur
57. Standard Data (1)
58. Standard Machines
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17. Design Arena (2): @designarena / @Intelligence_ai, @grx_xce, Jayden Personnat, @KamrynOhly
18. dmodel (2): @d_model_ai, @dlbydq, @dmooooon
19. Good Start Labs (2): @goodstartlabs, @alxai_, @tyler_marques
20. hillclimb (2): @hillclimbai, Ibrakhim Ustelbay, @jparkjmc
21. HUD
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Founders and vote counts:
1. Mechanize (22): @MechanizeWork, @tamaybes, @EgeErdil2, @MatthewJBar
2. Proximal (12): @ProximalHQ, @calvinchen, @MatternJustus, @navidkpr
3. Fleet (11): @fleet_ai, @nicoup, @andrewthezhou
4. AfterQuery (9): @AfterQuery, @spencermateega,
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I asked people: "which AI data startups are most interesting?" The focus was on startups that sell data to labs, excluding the massive ones (Mercor, Surge, Handshake, Turing):
22 votes: Mechanize
12: Proximal
11: Fleet
9: AfterQuery
8: Datacurve
5 each: Bespoke Labs, Preference
97.6K views · 456 likes
· 34 reposts · 24 replies
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I added a robotics data section to pavlov's list:
- Scale (Natasha Dadabhoy, Don McCullough)
- microagi (@bercankilic @joinshift)
- micro1 (@aliansarinik)
- Human Archive (@babugi28 @Rush26agarwal)
- Mecka (@joshavata @jasontheutopian @mog3n @NotDeu)
- XDOF (@philippswu https://
18.3K views · 181 likes
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@chrisbarber 15 minutes after meeting @bradley_emi from @pangram, I went from AI detection skeptic to believer, and voted to move forward with an investment. You can add my vote to Pangram.
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Thanks to @aranibatta, @timwee, @dlbydq, @theashbhat, @nickrubin, @tmychow, Charlie Songhurst, @herkhere, @griffinchoe, @davidtsong, @rzhou186, @ybenpan, @ds3638, @varunshenoy_, @astridwilde, @amiruci, @Ricburton, @jacobmbuckman, @jacobrintamaki, @cliffweitzman, @zackabaker,
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19. Sail Research (1): @sailresearchco, @neilmovva, @blintzbase
20. Etched (1): @Etched, @UbertiGavin, @robertwachen, @czhu1729
21. Core Automation (1): @coreauto, @MillionInt, @_arohan_, @anmol01gulati, @joannejang
22. Specter (1): @PJClark, Xerxes Libsch
23. Clay (1): Kareem
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Founders and vote counts:
1. Cognition (9): @ScottWu46, @stevenkplus1, @walden_yan, @russelljkaplan
2. Anthropic (9): @jackclarkSF, @nottombrown, Dario Amodei, Daniela Amodei, Chris Olah, Ben Mann, Jared Kaplan, Sam McCandlish
3. Modal (5): @bernhardsson, @akshat_b
4. OpenAI
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I asked people which companies have the highest density of talented people they know:
1st. Cognition - 9 votes
Equal 1st. Anthropic - 9 votes
2nd. Modal - 5 votes
3rd. OpenAI - 4 votes
4th. Standard Intelligence - 3 votes
4th. Cursor - 3 votes
Two votes each:
- Ramp
- Flapping
937.7K views · 1.2K likes
· 49 reposts · 74 replies
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I co-wrote this RL environment FAQ with @datagenproc from @EpochAIResearch:
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Frontier labs are investing massively in RL environments, yet most of what happens in this space stays behind closed doors.
@chrisbarber and @js_denain interviewed 18 people from RL environment startups, neolabs, and frontier labs. Here's what they found: https://t.co/4FF3m9LFRM
94.6K views · 364 likes
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Frente a cuentas del mismo tamaño
16 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas2 419esta cuenta924mediana de 10K–100K
Alcance, %16.13%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.60%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 2 419 | 924 | 2.62× |
| Alcance (visualizaciones ÷ seguidores) | 16.13% | 3.62% | 4.46× |
| Tasa de interacción | 0.60% | 1.52% | 0.40× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
4.7K19 Aug
3.5K
2.3K
2.5K
2.1K
1.1K
118.8K20 Aug
3.7K
2.3K
1.5K
1.6K
1.5K
41321 Aug
18.1K6 Sep
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
0.38%19 Aug
0.43%
0.44%
0.96%
0.66%
1.01%
0.44%20 Aug
0.54%
0.47%
0.54%
0.79%
0.76%
1.69%21 Aug
0.85%6 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes43.7%3 100 in total
Reposts2.7%191 in total
Replies3.3%232 in total
Quotes1.5%109 in total
Bookmarks48.8%3 464 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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