Lahjty's answer

Frontend: Next.js + Tailwind CSS + shadcn/ui

Backend: Prisma

AI Stack: GPT

Payments: Payhip

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Lahjty's answer

Lahjty is the first SaaS tool dedicated to generating authentic, high-converting Arabic ad copy across dialects (Saudi, Emirati, Iraqi, Egyptian, and more). Instead of generic translations, Lahjty writes in the soul of the dialect, delivering scroll-stopping ads that sound native, emotional, and persuasive. It also offers post previews, voiceover-ready audio.

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

Lahjty's answer

Unlike broad AI copywriting tools that treat Arabic as an afterthought, Lahjty is built for Arabic markets from the ground up. Brands, agencies, and non-Arabic speakers finally get ad copy that doesn’t feel like “translated text” but like it was written by a local marketing expert.

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

Lahjty's answer

Non-Arabic speaking marketers & agencies targeting MENA customers. E-commerce brands that want higher engagement and conversion in Arabic ads. Freelancers & startups looking to scale ad production without hiring expensive copywriters.

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Lahjty's answer

The idea for Lahjty was born when we noticed countless global and regional brands spending thousands on ads that simply didn’t resonate with Arabic audiences. The copy felt stiff, foreign, and uninspiring. We built Lahjty to bridge that gap, giving marketers a tool that speaks in the real voices of Arabic dialects, from Riyadh to Baghdad to Dubai. After months of prototyping, we launched Lahjty with two free tools (Dialect Wall & Dialect Blueprints) to attract curious marketers and rolled out our credit-based SaaS plans soon after.

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

Lahjty's answer

While still in early growth, Lahjty is being tested and used by:

Boutique marketing agencies in Saudi Arabia and the UAE

Independent e-commerce store owners scaling ads for Instagram

Freelancers offering ad creation services for MENA clients

Emisar.dev's answer:

• Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.