15:[[47667321,{"by":"A_D_E_P_T","descendants":407,"id":47667321,"kids":[47672079,47673493,47672926,47668088,47667987,47671400,47668271,47687290,47670114,47686434,47668074,47667393,47677796,47668202,47672547,47704927,47675708,47673856,47667952,47674735,47667915,47667984,47671285,47671773,47672259,47672527,47668381,47667722,47667598],"score":266,"time":1775510523,"title":"Peptides: where to begin?","type":"story","url":"https://www.science.org/content/blog-post/ah-peptides-where-begin"}],[47323900,{"by":"mmayberry","descendants":384,"id":47323900,"kids":[47324764,47325338,47325725,47325814,47325389,47325276,47327337,47324686,47324741,47325875,47324323,47324511,47328328,47326250,47324726,47324489,47335429,47324771,47326171,47330738,47324327,47325192,47332295,47330785,47325742,47324454,47325898,47326384,47327582,47332159,47327095,47325438,47324258,47327191,47324307,47330910,47324828,47329595,47335664,47325357,47327621,47327515,47327978,47325457,47329153,47326609,47332801,47332812,47326228,47324697,47332552,47325559,47347971,47324672,47348095,47325096,47332026,47326931,47326291,47327807,47324413,47329340,47324121,47324535,47332550,47325810,47327233,47330739,47328911,47325047,47329533,47335260,47324594,47325862,47325833,47342469,47325815,47325154,47330593,47328418,47331051,47327911,47333857,47327486,47332897,47325429,47326902,47327668,47327468,47326814,47324748,47330151,47330243,47327291,47331747,47326821,47324481,47325507,47325133,47325938,47325307,47453510,47324601,47329689,47330434,47453388,47334467,47324842,47326074,47330601,47327278],"score":554,"text":"https://web.archive.org/web/20260310154640/https://www.axios..., https://archive.ph/igqsh

https://www.reuters.com/business/meta-acquires-ai-agent-soci...

https://techcrunch.com/2026/03/10/meta-acquired-moltbook-the...","time":1773153486,"title":"Meta acquires Moltbook","type":"story","url":"https://www.axios.com/2026/03/10/meta-facebook-moltbook-agent-social-network"}],[43764076,{"by":"nehal96","descendants":194,"id":43764076,"kids":[43764315,43764411,43764775,43764972,43766514,43765579,43764479,43764489,43765285,43764648,43764795,43765249,43764945,43765450,43765808,43765228,43765059,43771254,43764404,43770412,43767402,43764993,43770826,43764662,43801260,43769356,43767350,43770793,43764746,43764737,43764617,43764516,43764873,43769779,43765159,43766451,43765432,43765008,43764338,43764483],"score":271,"time":1745340379,"title":"I should have loved biology 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cares","type":"story","url":"https://grantslatton.com/nobody-cares"}],[41740965,{"by":"brianjking","descendants":1008,"id":41740965,"kids":[41741096,41741740,41749311,41747339,41742490,41741041,41741473,41741488,41741060,41741508,41741649,41744995,41741261,41741095,41741361,41747574,41743629,41741032,41745372,41743662,41741246,41741468,41741540,41741458,41742638,41742921,41741142,41746917,41743222,41742484,41745416,41741222,41742454,41743969,41743479,41741493,41745185,41744137,41746302,41742984,41742830,41742183,41742995,41745166,41741810,41742663,41753064,41747491,41741114,41741621,41741527,41741119,41746144,41741626,41741785,41742546,41744948,41745898,41744672,41741465,41744546,41741433,41743555,41746115,41742497,41745498,41743328,41746697,41746097,41753474,41745312,41745148,41742317,41741928,41744935,41743125,41748340,41748851,41743670,41741401,41743905,41747625,41741796,41741190,41742035,41745347,41741969,41741693,41741353,41744652,41741440,41742661,41743442,41748042,41748381,41746610,41742987,41741171,41741587,41743403,41747303,41745620,41740973,41741052,41741056,41747344,41741040,41745469,41759449,41742234,41741062,41746910,41741382,41750484,41745247,41748551],"score":1107,"time":1728046980,"title":"Meta Movie Gen","type":"story","url":"https://ai.meta.com/research/movie-gen/?_fb_noscript=1"}],[41042123,{"by":"zer0sand0nes","descendants":527,"id":41042123,"kids":[41046796,41046361,41046184,41046112,41042582,41045532,41046883,41044957,41046676,41045362,41042612,41043270,41043058,41045386,41046700,41046351,41045493,41045933,41045446,41042611,41047497,41046378,41045418,41043616,41046195,41049208,41048293,41046557,41048519,41046156,41047317,41044852,41043180,41042182,41066804,41042970,41044438,41045383,41087515,41046245,41053896,41044048,41046445,41045733,41045750,41042508,41042552,41048602,41046439,41046475,41043198,41046263,41045777,41048729,41045894,41042399,41047117,41042920,41077752,41045481,41047343,41046299,41044439,41044256,41046522,41042760,41042404],"score":307,"text":"The gap between FAANG and non-FAANG salaries is quite substantial. For example, a Staff Engineer at an avg startup might get $250k base salary, in a HCOL area and maybe a 10-20% bonus.

But a FAANG Staff Engineer will get a similar base, and then $1mil in stock for 4 years.

-- Are there people outside of FAANG and Big Banks / HFT firms making those kinds of monies?

-- if So who are they? and what do they do?","time":1721703798,"title":"Ask HN: Is it possible to make FAANG salaries without working there?","type":"story"}]]

user:	heurist
created:	February 3, 2012
karma:	1.2k