14 of 14 posting · 139 posts · 1 Jul to 1 OctSince 1 Jul6 weeks4 weeks2 weeks
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ExecutiveCoveragePostsLast scanReached back toNote
Dan ShaperoComplete201 Oct, 10:342026-04-29T23:21:13.085000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved. Friday-habit card recaptured from live DOM after load completion.
Ryan RoslanskyComplete121 Oct, 10:332026-06-16T17:43:25.396000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Erran BergerComplete181 Oct, 10:342026-06-23T16:13:51.896000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Anthony ChavezComplete11 Oct, 10:322026-05-30T00:35:06.094000+00:00Reached below July1; oldest_reached activity-ID inferred. Same one observed post as previous window, text and permalink previously checked.
Matt DerellaComplete151 Oct, 10:302026-06-16T16:43:13.505000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Teuila HansonComplete11 Oct, 10:332026-04-03T17:02:06.936000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Raghu HiremagalurComplete11 Oct, 10:332016-04-01T00:24:04.551000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Jessica JensenComplete221 Oct, 10:342026-06-16T16:10:26.760000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Blake LawitComplete71 Oct, 10:332026-06-17T14:30:01.261000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Nicole LeverichComplete161 Oct, 10:352026-06-18T19:22:04.955000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Jordan LevyComplete11 Oct, 10:342025-04-23T20:16:45.841000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Mark LoboscoComplete91 Oct, 10:352026-06-02T19:11:56.204000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Archana SekharComplete21 Oct, 10:332025-04-23T17:17:26.474000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Hari SrinivasanComplete141 Oct, 10:332026-06-01T01:06:12.712000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Latest collection runs
1 Oct, 10:33Hari Srinivasancomplete14 seen4 new0 rejected
1 Oct, 10:34Jessica Jensencomplete22 seen1 new0 rejected
1 Oct, 10:34Dan Shaperocomplete20 seen0 new0 rejected
1 Oct, 10:34Dan Shaperocomplete20 seen1 new0 rejected
1 Oct, 10:35Mark Loboscocomplete9 seen1 new0 rejected
1 Oct, 10:30Matt Derellacomplete15 seen1 new0 rejected
1 Oct, 10:35Nicole Leverichcomplete16 seen0 new0 rejected
1 Oct, 10:34Jessica Jensencomplete20 seen8 new0 rejected
1 Oct, 10:34Dan Shaperocomplete18 seen8 new0 rejected
1 Oct, 10:35Nicole Leverichpartial16 seen8 new0 rejected
1 Oct, 10:30Matt Derellacomplete14 seen7 new0 rejected
1 Oct, 10:34Erran Bergercomplete18 seen11 new0 rejected
1 Oct, 10:33Ryan Roslanskycomplete12 seen6 new0 rejected
1 Oct, 10:33Hari Srinivasancomplete10 seen3 new0 rejected

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Erran Berger28 SeptEngineering and infrastructure
Owning our technology stack end-to-end enables us to optimize every layer - something that becomes increasingly important as we deploy ever-hungrier AI workloads. When we decided to double down on our own data centers and infrastructure rather than continue… moreOwning our technology stack end-to-end enables us to optimize every layer - something that becomes increasingly important as we deploy ever-hungrier AI workloads. When we decided to double down on our own data centers and infrastructure rather than continue migrating to Azure, it really came down to timing and scale. Azure was growing at an incredible rate (and still is!) because customer demand was going through the roof, and LinkedIn was seeing its own skyrocketing growth at the same time. Building fresh for the platform we needed was the right strategic bet for LinkedIn's future. While the internet's ChatGPT moment hadn't happened yet, we already saw companies like Meta reaping the benefits of developing larger and larger AI models, and the leverage from the systems they were building to support them. We bet on building that same kind of foundation ourselves and years later, the payoff is that our engineers can design entire systems end-to-end: intelligently splitting inference workloads across GPUs and CPUs, distilling large models into smaller ones that are very good at solving a specific optimization problem, and going as deep as writing our own GPU kernels with Liger Kernel to squeeze more out of every training run. Owning all of this made our teams more disciplined and more creative at the same time. Thanks to Frederic Lardinois for a great conversation at the WeAreDevelopers Conference - video to come!
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