Notes from the workshop

A growing number of cities ended their Flock contracts in August, marking a sharp acceleration in cancellations. The shift is notable for Telegram and software developers watching how public-sector buyers reassess surveillance and civic tech tools.

A lot of Telegram failures have nothing to do with code quality and everything to do with infrastructure assumptions. The most common mistake is treating Telegram like a normal request-response API instead of a system with strict timing, update ordering, and delivery semantics.

Telegram Mini Apps are a strong fit for event check-in because they combine identity, messaging, and lightweight UI in one place. This deep dive shows how to turn them into a reliable venue workflow, from registration lookup to QR validation and post-entry engagement.

Telegram’s latest infrastructure changes are a reminder that the platform’s scale is not just a product story, but an engineering one. For developers building on or around Telegram, the practical question is less about the headline and more about how latency, reliability, and service boundaries may change in day-to-day integrations.

Many Telegram bots and MTProto clients fail not because of Telegram itself, but because developers treat updates as a simple request/response stream. The real problem is usually a hidden mismatch between Telegram’s delivery model, your worker model, and your storage guarantees.

A privacy test across 100 companies found that data requests often ran into confusion, dead ends, and unexpected outcomes. The results matter for anyone building products that handle personal data, because request workflows can fail in ways that frustrate users and complicate compliance.

Telegram moderation has become more operationally significant for developers as the platform sharpens its enforcement around public abuse reporting, spam, and harmful content. If you build bots, communities, or client-side tooling on Telegram, this changes how you should design reporting, logging, escalation, and trust workflows.

Telegram bots are often secured with a token, but that token alone does not prove who is calling your webhook. If you accept inbound requests without verifying their origin, an attacker can forge updates and trigger privileged bot actions.

Telegram automation usually comes down to two very different approaches: building with the Bot API or automating as a user client. This comparison focuses on what each path can actually do, where it breaks down, and how to choose the right implementation for moderation, notifications, scraping, and internal workflow tools.

A court ruled that Kalshi cannot sidestep Nevada gambling laws by labeling sports bets as “swaps.” The decision matters for any company trying to reframe regulated betting products as financial instruments.

Telegram bots are easy to build, but they are also easy to get wrong. This explainer focuses on one of the most common security mistakes: trusting incoming webhook traffic without verifying it, and shows how to harden a bot backend against spoofed requests and data abuse.

Telegram’s recent Bot API additions around channel messaging have changed how bots can interact with channel audiences, especially when direct messaging is enabled. This guide explains what changed, how it affects bot design, and how to implement the new behavior safely and correctly.