SpeShu.AI opens feature crowdsourcing: Habr users decide what goes into the next patch

SpeShu.AI has launched a public interactive campaign: Habr users post in the comments what they want added to or removed from the service, upvote the best ideas, and the team ships the most popular ones in the next patch. According to the developers, they move fast, and changes go out almost in real time. Few startups work this way, with the audience literally setting the order of product development.

SpeShu.AI aggregates top neural networks and AI agents in a single window. The name reads as "СПЕШУ АИ" (roughly "hurrying AI"), which works as both a pun and a positioning statement: the service promises fast access to the best models without juggling several separate subscriptions. From one interface, users can work with different models, switch between them depending on the task, and plug in AI agents to automate repetitive workflows. The developers' pitch is that this saves both money and time: one account instead of five different dashboards.

The market for AI service aggregators is growing fast worldwide, and the Russian segment is no exception. In the last two years alone, dozens of platforms have appeared that try to bring Claude, GPT-4o, Gemini, Mistral, and task-specific models under one roof. Competing on features alone is getting harder, since many services offer similar core capabilities. SpeShu.AI is betting on something else: community involvement in development. When users see their idea become a real feature and land in the next release, it builds a different kind of loyalty than any marketing campaign can.

Crowdsourcing features through a public platform isn't new. Product Hunt, Reddit, and GitHub Issues have long served as feedback channels for tech products. But a direct "comment → votes → patch" loop with a stated delivery speed comes closer to live public development. Claiming that features ship "almost in real time" is a public commitment that can be checked on the spot. Habr's audience is technically savvy and skeptical; empty promises get noticed quickly there and called out publicly.

One of the main selling points of any aggregator is saving on subscriptions. Base plans for GPT-4o, Claude, and Gemini Advanced together cost between $60 and $100 a month. Yet most users have heavy overlap in how they use them: tasks overlap, and finding the best model for a given query often takes trial and error. In theory, an aggregator with smart routing between models solves this problem: users pay less and get better results. How well this works in practice at SpeShu.AI is one of the questions worth raising in their campaign.

The broader context matters too. As major foreign platforms make access harder for Russian users or scale back their presence in the market, local aggregators are filling the gap. They offer a familiar interface, ruble payments, Russian-language support, and often access to the same foreign models via API. In that landscape, SpeShu.AI is one of the players trying to win a place not just on price, but through loyalty built on transparent development and direct dialogue with its audience.

The Habr campaign is both product research and a marketing move. Whether the comments actually change the team's priorities, rather than just driving traffic to the service's page, comes down to one concrete measure: how many of the voted ideas actually make it into upcoming versions of SpeShu.AI on the promised timeline.