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Engineering
Outcomes.

Real-world infrastructure, data pipelines, and AI automation engines. Here is a look at what runs on the Logicmesh stack.

Internal Ventures (SaaS)

AI Automation

Hyperly Writer

Autonomous SEO engine generating bulk technical content via BullMQ queues and LLMs.

Media Tech

Hyperly CMS

"Varnish-First" CMS handling 10,000+ concurrent readers without database lockups.

PROJECT_ID: LM-GOV-01
GeM.gov
EXTRACTOR
↓ 10,000+ TENDERS/DAY
LLM AI
QUALIFIED
Sector: Gov-Tech / B2B

GeM Procurement Intelligence

The Goal: Automate the manual discovery and qualification of government contracts on the Indian GeM portal.

The Build: We engineered an autonomous scraping architecture that extracts raw tender data, passes it through a custom AI-analysis layer to match company capabilities, and automatically routes high-probability contracts to sales desks.

AI
Contract Filter
100%
Manual Work Saved
Sector: Data Intelligence

Reddit Extraction Pipeline

The Goal: Scrape unstructured data from Reddit at massive scale without triggering rate limits, for marketing intelligence.

The Build: We deployed a heavy-duty extraction tool with rotating proxies. We integrated an AI workflow to parse, clean, and analyze the noise, turning millions of raw comments into precise sentiment analytics.

Scale
High-Frequency
LLM
Sentiment Parsing
/logs/reddit_extractor.sh
[SYS] Initiating Thread Extraction: r/technology
[NET] Bypassing Rate Limit... Proxy Rotated.
[DATA] Extracted 45,210 nodes.
[AI_LAYER] Cleaning syntax & calculating sentiment...
[DB] 12,400 qualified marketing leads pushed to Postgres.
_
PROJECT_ID: LM-FIN-03
// SIP LEDGER ALGORITHM
∑ (Mi × R) = MATURITY
✔ Webhook: Recurring Mandate Success
✔ Ledger Updated: +₹10,000
✔ Gold Weight Locked: 1.42g
Sector: FinTech / E-Commerce

Jewellery SIP Ledger

The Goal: Allow retail customers of a luxury jewellery enterprise to enroll in Systematic Investment Plans (SIP).

The Build: We engineered a secure financial backend architecture. The system handles automated recurring payment mandates, dynamic ledger mathematics (tracking gold rates), and maturity payouts flawlessly.

Secure
Ledger Tech
Node.js
API Backend
Sector: Creative Tech

Niche Visual Editor & AI

The Goal: Build a custom, lightweight "Canva-like" editor tailored for a specific niche, removing the need for 3rd party apps.

The Build: We built a browser-based visual canvas tightly coupled with an AI generation layer. Users generate assets, edit them, and auto-post directly to the Instagram Graph API from a single interface.

AI_LAYER_GEN
IG_GRAPH_API
PROJECT_ID: LM-SOC-05
// BULLMQ SCHEDULER
T-0:00
AI Context Generation
T+1:00
Thread Construction
T+4:00
X API Auto-Post
Sector: Social Automation

Autonomous X Engine

The Problem: Managing high-volume Twitter (X) accounts requires perfect chronological delivery, dynamic context generation, and API rate-limit management.

The Build: We utilized background job queues (BullMQ/Redis) paired with LLM agents. The system autonomously generates context-aware threads and manages precise delivery schedules without human input.

Need to build something complex?

From high-frequency scrapers to custom AI pipelines. We engineer solutions that scale.

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