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Gogo | Dota for Toxicity

@lwastuargo · 🟩🟩🟩🟩🟩🟩🟩🟩🟨 1000 mentee · joined 27 Mar 2011

Professional social climber 🪜 (Closed) 100% guarantee career booster 📈: https://t.co/DuZShvk1Ct

27 828Followers
222Following
6 548Posts total
381.1KViews on collected posts

Derniers posts

Melihat Jev, model yang specialized buat classification, makin kaget sama akurasi dari ramalan sendiri Mungkin harus mulai ngeramal saham, bikin kelas, jadi media cuci2 dari sana Oh wait 23.6K views · 378 likes · 21 reposts · 5 replies Open on X →
Paiton, aka Infinity Castle 3.1K views · 8 likes · 0 reposts · 0 replies Open on X →
The Palantir Pace https://t.co/6DcyUsmUFk
16.5K views · 491 likes · 42 reposts · 8 replies Open on X →
Pingin membangun citra sejelek dan serendah mungkin sedemikian sehingga kalo saya blunder reaksi orang bakal "Oh ya, makes sense. Next" 13.1K views · 239 likes · 21 reposts · 10 replies Open on X →
Codex reset terus jadi dapet perbandingan sama DS 4.1 setelah penggunaan bbrp hari saat Codex mati Terus sedih, soalnya setup harnessku jauh lebih bagus pake DS daripada Codex 62 tiket beres dalam 6 jam by Deepseek 4.1 Flash (targetnya beres 200/day). GPT dengan berbagai https:
16.8K views · 174 likes · 6 reposts · 10 replies Open on X →
Kenapa 13 akun Codex dibandingkan Deepseek 4.1 Sudha dibenchmark, akun Codex habis $2600 sebulan. Untuk same workload buat task yang sama Deepseek + Deepseek Harness bakal habis $6000 sebulan Karena saya bukan kaum mendang-mending, jadi sekarang habis deh itu $8600 sebulan 26.4K views · 72 likes · 4 reposts · 7 replies Open on X →
🚚 Jadi Gogo bikin 400+ commit per hari itu ngapain sih? 💩 And is that shit commits? 💾 Tiap save file di-commit? 📊 Emang ada hasilnya? Awal 2025, semua orang masih pada pake Cursor/Windsurf. AI ngoding, kita review. Kita liatin itu kode satu-satu. Apapun yang masuk ke main https:
67.8K views · 1K likes · 141 reposts · 25 replies Open on X →
Relevant tweet https://t.co/I0tOC61JLU 7K views · 12 likes · 0 reposts · 0 replies Open on X →
@lwastuargo "Menurut Pak CTO ini aku salah. Anthropic/OpenAI/Gemini itu sama aja, ga ada yang melakukan specialization." Tahun berapa itu mas? Mungkin masih awal banget baru menetas? #berusahapositipthinking 3.5K views · 4 likes · 0 reposts · 1 replies Open on X →
And kinda makes me think: in a world where Coding is All You Need, harusnya software engineer merasa kuat, bukan merasa lemah dan takut dipecat 9.6K views · 108 likes · 8 reposts · 7 replies Open on X →
Sempet di suatu tech talk aku dicibir seorang CTO ketika beropini begini: Anthropic dan OpenAI/Gemini sama2 mau mencapai AGI. Tapi caranya beda OpenAI/Gemini mencoba mencapai AGI dengan mencoba semuanya. Going wide. Voice agent, image generation, writing, research, coding, 117.5K views · 802 likes · 76 reposts · 20 replies Open on X →
kalo mau build dari awal, mending xAI jangan fokus ke coding agent, tapi ke agent yang maintain interpersonal relationship ke human. misal sales agent -> distribute ads to the right people storyteller agent -> distribute writer/news source/journalist to the right group 59.8K views · 11 likes · 0 reposts · 2 replies Open on X →
Bumi ternyata hasil vibe coding 16.3K views · 43 likes · 5 reposts · 4 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes16 819ce compte996médiane pour 10K–100K
Portée, %60.44%ce compte3.84%médiane pour 10K–100K
Engagement, %1.71%ce compte1.51%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post16 81999616.9×
Portée (vues ÷ abonnés)60.44%3.84%15.7×
Taux d'engagement1.71%1.51%1.13×

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

16.3K31 Jan
59.8K13 Mar
117.5K14 Mar
9.6K
3.5K
7K
67.8K8 Aug
26.4K11 Sep
16.8K13 Sep
13.1K14 Sep
16.5K15 Sep
3.1K
23.6K21 Sep

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%31 Jan
0.03%13 Mar
0.77%14 Mar
1.30%
0.14%
0.17%
1.78%8 Aug
0.32%11 Sep
1.14%13 Sep
2.08%14 Sep
3.31%15 Sep
0.26%
1.71%21 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes62.5%3 364 in total
Reposts6.0%324 in total
Replies1.8%99 in total
Quotes0.8%44 in total
Bookmarks28.8%1 552 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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