iWorld
JioHotstar’s Tadka explained: India’s big new bet on bite-sized drama
The streaming giant goes short with vertical micro-dramas timed to ride the IPL’s massive reach
MUMBAI: India’s biggest streaming platform has a new trick up its sleeve. JioHotstar has launched Tadka, a vertical micro-content offering that serves up episodic dramas in 60-second to two-minute bursts, built not for the binge-watcher sprawled on the sofa but for the thumb-scroller on the bus. The name, borrowed from the Hindi culinary term for a flavour-charged tempering of spices, signals intent: quick, punchy, unmissable. And the timing is no accident. Tadka’s launch coincides with the Indian Premier League, one of JioHotstar’s biggest audience moments of the year, giving the new format an instant audience of tens of millions.
What exactly is Tadka?
At its core, Tadka is JioHotstar’s answer to the global micro-drama boom, a format that has quietly become a multi-billion-dollar category in China and is fast gaining ground elsewhere. Content is shot vertically, native to the mobile screen, and runs in episodes of 60 seconds to two minutes. Crucially, nothing is edited down from longer cuts: every story is conceived and produced specifically for the short form.
The genres span romance, drama, thriller, comedy and youth-oriented stories, all anchored in contemporary Indian life. Titles already in the library include Mitti Ka Sher, Section F Ka Only Boy, Undercover Boss: Scam Smash and Punch Dialogue Prince Ki Oka Chinna Love Story. Content is available in Hindi, Tamil and Telugu, with more languages to follow.
At launch, the platform has more than 100 original titles on offer. By year-end, JioHotstar plans to have 1,000-plus titles in the catalogue.
Production beyond Mumbai
One of the more striking aspects of Tadka is where it is being made. JioHotstar is deliberately breaking with the Mumbai-centric logic of Indian entertainment, shifting shoots to smaller cities. Game Over Gold Digger and Billionaires vs. Middle Class Mom were shot in Indore; Mitti Ka Sher and Startup Junoon: Rinki Bani Bazigar in Lucknow.
The platform has partnered with more than 50 production houses, ranging from established players such as M5 Entertainment, Salt Media and Tamasha Studios to digital-native outfits such as Incnut, Fourth Wall and Kaijuhouse Productions, many of them new to the long-form ecosystem altogether. The content and production team was built entirely from scratch, drawing talent deliberately from outside the traditional long-form world. Television production veterans, it turns out, are rather well suited to the high-volume, fast-turnaround demands of micro-content.
How the money might flow
Monetisation is still early-stage, but the roadmap is taking shape. Advertising is the primary near-term opportunity: several brands have already approached JioHotstar about integrated content formats, and ad revenues are expected to scale with viewership. Further down the road, the platform may explore subscription packs and coin-based unlock models, a path already well-trodden in global micro-drama markets, where 65 to 70 per cent of revenue has shifted over time from pay-per-episode unlocks to recurring subscriptions.
Fully AI-generated content, story and visuals alike, is also in the pipeline for specific genres, including animated and fantastical formats.
Partners are enthusiastic
Those building content for the platform are bullish. Firdaus, owner and partner at Salt Media, says Tadka “lowers traditional barriers, allowing storytellers across sizes to participate without being constrained by large budgets or legacy structures.” Sonya V. Kapoor, owner and partner at M5 Entertainment, calls micro-content “where the next generation of IP is going to be built and tested.” Anish Surana, founder of Ananta Productions, says Tadka is “formalising micro-content as a serious entertainment category within the mainstream ecosystem.”
Jehangir Irroni, assistant vice president of video divisions at Incnut Digital, puts it bluntly: “When a platform at JioHotstar’s scale backs a format, it has the ability to expand the category itself.”
The bigger picture
Within days of its launch, Tadka has already pulled in a share of JioHotstar’s active user base that, the company claims, is comparable in size to the entire user base of several standalone short-form or regional OTT platforms. That is a remarkable early signal, though, as with any new format, the harder test is whether that initial curiosity converts to habit.
If it does, Tadka could do for Indian micro-drama what JioHotstar’s backing of the IPL did for streaming sports: drag a format from the fringes firmly into the mainstream. The spice, as always, is in the timing.
iWorld
Meta launches AI connectors for ads in open beta
Tools enable campaign creation, reporting and insights via AI platforms.
MUMBAI: If ads were once about gut feel, Meta now wants them run on autopilot with AI riding shotgun. The company has unveiled its Meta ads AI connectors in open beta, a move aimed at embedding campaign creation, management and analysis directly into the AI tools advertisers already use. The push reflects a broader shift in digital advertising: from platform-led workflows to AI-assisted, cross-tool execution.
At the heart of the rollout are Meta’s ads model context protocol (MCP) server and a command line interface (CLI), which together allow advertisers to securely link their ad accounts to AI agents. The promise is straightforward real campaign data, not generic prompts, powering decisions across workflows.
The connectors are designed to streamline multiple layers of campaign management. Advertisers can generate detailed performance reports, create and edit campaigns using natural language, manage product catalogues, and diagnose signal quality, all without leaving their preferred AI environment.
Meta is also leaning into ease of adoption. For MCP, the company says setup requires no coding, developer credentials or API integrations, positioning the tools as accessible for businesses of varying sizes and technical maturity.
The launch complements Meta’s existing AI business assistant within Ads Manager, which focuses on recommendations and troubleshooting inside the platform. The connectors, by contrast, extend that intelligence outward into third-party AI tools that marketers increasingly rely on for cross-channel planning and automation.
The underlying strategy is clear: instead of forcing advertisers deeper into its ecosystem, Meta is meeting them where they already work while still keeping its data and ad infrastructure at the core of decision-making.
As AI continues to reshape how campaigns are conceived and executed, Meta’s latest move signals a future where managing ads may feel less like operating software and more like having a conversation.
