Frontware International Co.,Ltd @frontware

it’s official, vibe coding done by legend himselff😂

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เสียเวลา คนทำมาก #แอพดีบอกต่อ

Still wasting time searching through documents? With QueryMate, simply ask your question and get accurate answers from your company's knowledge in seconds. Stop Searching. Start Asking. #QueryMate #EnterpriseAI #KnowledgeManagement #GenerativeAI #Productivity

⏰ Still managing attendance manually? Switch to Weladee ✔️ Clock In/Out ✔️ Leave & OT ✔️ Reports ✔️ Payroll 🎁 Free trial available. weladee.com/en/register?so… #HR #TimeAttendance #Payroll #Weladee #HRTech #เจ้าของธุรกิจ #ธุรกิจSME

🚀 เรากำลังเปิดรับสมัคร: Sales & Marketing Executive 📷 สมัครได้ที่: job.weladee.com/job/Frontware-… #หางาน #รับสมัครงาน #งานขาย #งานการตลาด #BusinessDevelopment #B2BSales #SoftwareSales #งานกรุงเทพ #งานไอที #สมัครงาน #Frontware #Weladee #Hiring #SalesJobs #MarketingJobs #B2BSales

Mistral AI just released the best OCR model 🔥 It turned a handwritten calculus exam into clean LaTeX in 5.1 seconds: Every formula came back rebuilt exactly right - integrals, fractions, limits - for $0.09. The graph didn't get redrawn. Most OCR tools dump the text and drop the figure. OCR 4 caught the plot, boxed it, and tagged it as a chart instead of losing it. And it doesn’t just read text. It understands the entire document structure. OCR 4 detects equations, tables, signatures, titles, charts, and returns bounding boxes with confidence scores for every region. That makes it much more useful for RAG pipelines, enterprise search, citations, and document processing than traditional OCR. Independent annotators blindly ranked 600+ documents across 12+ languages and preferred OCR 4 over every system tested - 72% win rate. It tops OlmOCRBench at 85.20 and covers 170 languages. Runs in a single container. Fully self-hosted. $2 per 1,000 pages on batch.

If you come from the future you can apply

@ChronoloxVault Imagine writing a letter today that can only be opened ten years from now. graph.org/What-If-You-Co…

Coming soon 🪐 #แอพดีบอกต่อ #ของดีบอกต่อ #AIเพื่อธุรกิจ #คลังสินค้า #โลจิสติกส์ #เทคโนโลยีเพื่อธุรกิจ 🚀

QueryMate @QueryMateAi

a week ago

Stuck with delayed shipments? 📦 Just ask QueryMate: "Which shipment is delayed?" → Instant answers from your logistics and warehouse data. No dashboards. No guesswork. No waiting. #SupplyChain #AI #Logistics #QueryMate #QueryMateAI #WarehouseManagement #OdooERP #FreightTech

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💥5 สัญญาณว่าถึงเวลาต้องเปลี่ยนระบบลงเวลา ดูต่อใน คอมเม้น 👇👇👇 #Weladee #HRMS #TimeAttendance #Payroll #HRThailand #เจ้าของธุรกิจ #SME #บริหารงานบุคคล

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just announced at #DuckCon and coming soon...

Azure is the default for Microsoft shops. But then, the default isn't always the right choice. FluxCloud: transparent pricing, no bundled confusion.

PostgreSQL 19 is getting graph queries. With SQL/PGQ, you can query relationships directly in SQL: → social networks → recommendations → fraud detection → dependency graphs Postgres is not just a relational database anymore. It’s becoming the database for everything. x.com/alxshp/status/…

alex shapalov @alxshp

2 weeks ago

PostgreSQL 19 is bigger than JSON Coming improvements: → SQL/PGQ graph queries → GROUP BY ALL → REPACK CONCURRENTLY → parallel autovacuum → logical replication without restart → sequence replication → better EXPLAIN ANALYZE IO → pg_stat_lock / pg_stat_recovery → online

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No lawyers. No courts. No middlemen. With @Chronolox, you can time-lock crypto wallets, seed phrases, or private notes directly to a future milestone date (like a grandchild’s 18th birthday). 🔒 Secured by blockchain hardware TEE ⏳ Absolute time-lock guarantee #timelock

@ChronoloxVault Hardware privacy meets mathematical certainty. The Double-Lock system guarantees your secrets survive any outage. graph.org/Surviving-a-Bl… 🔒⏳ #Chronolox #Web3Security #DataResilience

The Chronolox Double-Lock System ⏳ 🔒 Primary: Oasis Sapphire TEE 🔏 Fallback: drand + Polygon Total redundancy for time-locked secrets (≤1yr). Even during a network outage, secrets remain mathematically secure & recoverable offline. #Chronolox #Web3 #drand #oasis

Two days ago the US banned Claude Fable 5. Yesterday China dropped GLM 5.2. Today GLM 5.2 is #1 on @bridgebench BS at 100.0, and #1 on Reasoning at 42.8, beating Fable 5. At 1/10th the cost and 300 tokens per second. You cannot export control your way out of an open source race. The ban didn't slow China down. Unban Fable 5.

AMD acaba de dar un golpe fuerte en la IA local. Lisa Su subió al escenario con un mini PC del tamaño de un libro grueso en una sola mano y ejecutó en vivo un modelo de 235 mil millones de parámetros. Sin datacenter. Sin cloud. Sin alquilar GPUs. El protagonista es el Ryzen AI Max+ 395 (Strix Halo). Es el primer chip x86 que une CPU y GPU con 128 GB de memoria unificada. En Linux, el GPU puede usar hasta ~110 GB de esa memoria. Para ponerlo en contexto: una RTX 5090 tiene 32 GB y una 4090 tiene 24 GB. Este pequeño equipo ofrece más del triple de memoria accesible para modelos grandes, en un chasis compacto. En pruebas específicas de inferencia (como DeepSeek R1), superó en más de 3x al rendimiento de una RTX 5080 cuando el modelo no cabe en la VRAM de la tarjeta de Nvidia. El precio real del equipo con 128 GB (GMKtec EVO-X2) suele estar entre $1,800 y $2,500 según ofertas (el kit oficial de AMD es más caro). Para quien usa mucho IA, esto cambia las cuentas: en vez de pagar cientos de dólares al mes en suscripciones (Claude, ChatGPT Pro, Cursor, etc.), puedes correr modelos potentes localmente con Ollama, LM Studio o similares. Privacidad total, sin límites de tokens y sin que te corten el servicio a las 3 a.m. No es que las suscripciones vayan a desaparecer mañana, pero para muchos casos de uso (RAG con documentos privados, prototipos, agentes locales, etc.) esta opción se vuelve muy atractiva. Estamos viendo el inicio de una nueva etapa de IA local accesible y potente??

We are hiring Sale & Marketing for our Bangkok office. jobthai.com/en/company/job… #job #marketing #sale

The man who killed the $10,000 GPU myth. He did it alone, from Bulgaria, with one C file. 🤯 >Meet Georgi Gerganov. >Bulgarian developer. Nobody had heard of him. >In March 2023, Meta’s LLaMA model leaked online >Within days he wrote a single C file >Called it llama.cpp >It ran a full AI model on a MacBook. No GPU. No cloud. >The entire AI industry said you needed $10,000 GPUs to run LLMs 🔥 >He proved you didn’t. On a laptop. Alone. >Also built whisper.cpp ~ same thing for voice AI > His code is the foundation of Ollama, LM Studio, and GPT4All >107,000+ GitHub stars. Fastest open-source Ai project to hit 100K ever. 🚀 >In 2026 Hugging Face hired his entire team >Still ships code. Still open source. Still free. Whenever you run AI locally, you’re running his work. Absolute Legend 🐐

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