Tech
Revenue from Instagram Stories Will Surpass Snap This Year
Nomura analyst Mark Kelly forecasted that the revenue from Instagram stories ads will grow 4 times as that of Snap’s.
It has been only 2 years since Instagram has introduced ads in its stories. Apparently, the idea which was stolen from Snapchat, became one of the factors that led Instagram to victory as compared to the Snap. According to the analyst, the Instagram stories ad revenue would be over $2 Billion this year. And by 2021, this feature of Instagram can easily generate $7.5 Billion for Facebook.
Talking about Snap, the ad revenue is expected to be around $1.5 Billion this year. And this marks a 30% increase for Snap as compared to the last year. Though 2018 had been a terrible year for Snapchat, the management is expecting to grow back this year. However, so far, the 1st quarter does not look very promising for Snap with the continued decline.
One of the reasons for this decline is attributed to the success of Instagram stories. Add to that some of the wrong decisions taken by Snap the previous year. All compounded, brought a decline in the company’s revenue.
There is no doubt that the stories are becoming popular among people as a sharing medium. Mark Zuckerberg, the CEO of Facebook, once shared, “Stories are on track to overtake posts in feeds as the most common way that people share across all social apps.” And today, the Instagram story feeds are totally saturated with the advertisements from different companies and brands, leaving no scope for overdoing it.
That would mean increase in the price of Instagram ads for the companies, leading to growth in the ad revenue. Since the stories have become highly profitable for the companies, many today are buying Instagram followers just to increase the visibility of their stories. And that is also contributing towards power of Instagram over the Snap.
Tech
My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations
By: Chelsie Carvajal
Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.
Turning Tasks Into Conversations
My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.
Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.
Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.
From Content Pipelines to Voice‑Led Workflows
The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.
Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.
Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.
Why Businesses See Conversation as Infrastructure
Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.
Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.
Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.
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