Top AI Product

“Manual admin tasks were stealing hours of my week, so I built a brain-inspired AI to steal them back.”
That’s how Soumil Rathi, founder of Saidar, summed up his motivation when we spoke. Working solo after a year embedded in AI research labs, Rathi watched the boom in multi-tool agent frameworks and decided the timing was perfect for an all-in-one “AI secretary” that could hop between Gmail, Notion, Slack, and two-dozen more apps without breaking a sweat.

He isn’t alone in feeling the pain. Fragmented workflows, scattered data, and mind-numbing busywork plague founders and product teams everywhere. Saidar’s value proposition is refreshingly blunt: Automate work across 25+ apps and get your time back. With early users already wiring the assistant into daily reports, marketing blasts, and meeting prep, the vision is beginning to resonate.

Product Overview

Saidar lives in the browser (iOS and email endpoints already live) and offers a single command line—natural language. Under the hood, six core capabilities power the service:

1. Create Automations – schedule or trigger recurring actions so you never touch them again.
2. Deep Research – request a 15-page report on any topic; see it land in two minutes.
3. Take Complex Actions – chain tasks across multiple apps in one request.
4. Content Generation – spin up to 200 articles, tweets, or posts simultaneously.
5. Generate Images – produce bespoke visuals for campaigns on the fly.
6. Generate Files – assemble polished reports, overviews, and slide decks.

Pricing is equally direct. The Basic plan at $20 per user/month delivers 1,000+ monthly actions, scheduling, real-time web access, and file/image generation—squarely targeting individual founders and small teams. Power users graduate to Pro at $200, unlocking mass content creation and parallelized action chains plus priority support. “We benchmarked against ChatGPT and Claude,” Rathi told me. “Basic stays competitive while still paying for tokens; Pro funds the heavy hitters who want to carpet-bomb the internet with content or run multiple agents in parallel.”

Deep-Dive Dialogue

Rathi’s journey began with curiosity about general intelligence, then narrowed to one itch: administrative drudgery.

“My biggest priority was (and still is) automating the manual admin tasks. They end up costing me many hours per week.” — Soumil Rathi, Founder

Early testers echoed the sentiment. Linua, a project manager, reports that Saidar “works well with other apps,” while developer Ron H. is weighing it for daily reports and social posts. Such endorsements may be anecdotal, but they reveal how broad the canvas is: if it sits in your SaaS stack, Saidar aims to click it for you.

So how does one engineer reliability across so many moving parts? Rathi credits what he calls “brain-inspired algorithms”:

“I drew inspiration from distributed processing, Hebbian learning, and hierarchical action planning, then baked them into Saidar. The result is higher reliability and longer action plans than typical agents.”

Those cognitive hooks enable Saidar’s standout trick: parallel content generation. Ask for 200 variations of a blog post, and the system spawns concurrent branches, crunching through them while maintaining a single conversational thread. When tied to the “deep research” engine—capable of scanning the web, summarizing, and formatting citations—the assistant begins to look less like a macro recorder and more like a junior analyst on turbo.

Still, one secretary seldom fits every desk. I asked who gains most right now.

“Founders and other busy teams,” Rathi said. “We see use cases ranging from financial reports and meeting prep to marketing automations and ad ops. The idea is to remove small, irritating busywork from their lives.”

Market Significance

The personal-automation space is heating up fast. OpenAI, Anthropic, and Replit all tout agents that can write code, draft emails, and crawl the web. Zapier recently unveiled AI-driven Zaps; Notion has AI buttons that mute half the mundane steps of knowledge work. Saidar’s differentiation lies in three levers:

1. Built-in cognitive planning rather than simple trigger-action rules, allowing longer, interdependent task chains.
2. Massive parallelism for content; few competitors promise 200+ unique outputs in one click.
3. Multi-modal generation—text, images, and files—from a single interface, reducing the zig-zag between tools.

Challenges loom, of course. Consumers have grown skeptical of agent reliability; a single mis-sent email can erode trust overnight. Saidar’s “brain-inspired” claims will need empirical proof at scale. Pricing, too, walks a fine line: $200 a month is palatable for revenue-generating teams but may scare off solo bootstrappers who can juggle ChatGPT and Zapier for less.

Yet opportunity dwarfs the hurdles. IDC pegs the “intelligent process automation” market at $20 billion by 2027, and the next growth spurt will hinge on UX, not just model weights. If Saidar can truly sit inside Messages, Slack, Chrome, and email while staying context-aware, it will fit seamlessly into existing habits—a lesson rival tools often ignore.

Roadmap Ahead

Saidar’s near-term milestones read like a ubiquity checklist: real-time messaging via iMessage, a Chrome extension for one-click task capture, and a Slack bot for team-wide adoption. On the integration front, YouTube, Google Ads, and LinkedIn sit atop the queue—critical for founders looking to automate ad campaigns end-to-end. Parallel agents and richer scheduling logic are also on deck, powered by the same hierarchical planning core.

Closing Notes

The Saidar team—currently a team of one—confirmed during our interview that new interaction modes will roll out “in the coming days,” with expanded app coverage following close behind. If the execution matches the ambition, founders might finally trade their to-do lists for a secretary who never sleeps.

— Johnny, Tech Reporter