Entwickler

Asif Razzaq

Editor and Founder @ Marktechpost.com

@asifrazzaq1988 12.1K X-FollowerErstes Produkt gestartet vor 4 J.

Monatliche Gesamtbesuche
480K
Abwärts41.8%zum VormonatSept. 2026
Veröffentlichter Umsatz
Nicht offengelegt
Kein öffentlicher Umsatz über alle Produkte
Produkte
1
Seit Mai 2022
Letzter Launch
vor 4 J.
MarkTechPost480K Besuche/Mon.
100 % vollständiges Macher-Dossier offen: komplettes Portfolio, 12-Monats-Traffic- & MRR-Kurven, Launch-Rhythmus und Zeitstrahl.

Traffic

Portfolio · Letzte 12 Monate
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Produkte

Products and research metrics
ProduktBesuche · SepAktionen
MarkTechPostMarkTechPost: AI Research News, Open-Source Models and LLM Benchmarks480K

Zeitstrahl

Launches, Marketing, Umsatz-Meilensteine sowie Preis- und Positionierungsänderungen
  1. 11. Nov. · vor 3 Tg.

    • MarkTechPost Startseiten-Tagline geändert zu „MarkTechPost: AI Research News, Open-Source Models and LLM Benchmarks“Positionierung

      AI and machine learning news, written for the people who build it→MarkTechPost: AI Research News, Open-Source Models and LLM Benchmarks

  2. 5. Nov. · vor 9 Tg.

    • MarkTechPost Media Platform publishes analysis on Baidu ERNIE 5.5 Flash BaseReferrals & Backlinks

      Marktechpost AI Media Platform published an analysis examining Baidu's ERNIE 5.5 Flash Base model release.

    • MarkTechPost covers Together AI release of Together CompilerReferrals & Backlinks

      Marktechpost published an analysis covering Together AI's release of Together Compiler, a system for continual compilation during AI inference.

    • MarkTechPost Media Platform covers Google Research's Agile DeliberationReferrals & Backlinks

      Marktechpost published an analysis of Agile Deliberation, a framework released by Google Research to help define gray-area concepts for AI classifiers.

    • MarkTechPost analyzes Thinking Machines Inkling 2 SmallReferrals & Backlinks#Launch-Post

      Marktechpost published an analysis of Thinking Machines Lab’s Inkling 2 Small, a 594B Mixture-of-Experts model that activates 17B parameters per token. The post says it scores 31 on the Artificial Analysis Intelligence Index, runs on Tinker for fine-tuning and inference at $0.30 / $1.00 per 1M tokens, and that weights are closed for now with an Apache 2.0 release planned after safety testing.