Pehle kya hota tha na, companies bade pyaar se product banati thi, phir customers pakadti thi, aur phir target karti thi $100 Million ARR ka. Yeh figure sirf size nahi, business ki predictability bhi batata tha. Traditional SaaS companies mein revenue pakka contracts se aata tha, chahe per-user license ho ya koi bada enterprise deal. Poora paisa predictable rehta tha.
Par ab AI wali companies ne toh game hi change kar diya hai! Yeh log record time mein ARR tak pahunch rahe hain. Jaise India ki Emergent ne toh launch ke sirf 8 mahine mein $100 Million ARR bana liya. Global level pe Midjourney, ElevenLabs jaise naam bhi bahut jaldi bade hain. Wohi Lovable ne 1 saal se thoda zyada mein ~$400 Million ARR tak pahunch gayi, aur Decagon ne toh 6 mahine mein seven-figure ARR bana ke ab $30 Million se upar nikal gayi hai. Poora funda 'usage' pe chal raha hai, contracts pe nahi.
Ab ARR ka matlab hi change ho gaya hai. Pehle access ke liye charge karte the, ab jitna use karoge, utna paisa lagega - chahe tokens ho, queries ho ya app development. Isse revenue thoda 'spiky' ho sakta hai. Jaise Girish Mathrubootham, jo Freshworks ke co-founder hain, bolte hain, "Jo AI companies ARR keh rahi hain, woh asal mein subscription aur usage ka annualized run rate hai."
Ismein challenges bhi hain. Har koi alag tarah se report karta hai. Koi pura billed amount dikhata hai, koi infrastructure cost minus karke. Isliye investors ko ab deeper dive karna padega. Aakrit Vaish, jo AI venture fund run karte hain, kehte hain, "Agar token ya compute cost included hai toh theek hai, investors ko bas margins aur volatility ko dekhna hoga."
Toh bhai, ARR ab bhi growth ka sign hai, par AI ke zamane mein ise samajhne ka tareeka badal gaya hai. Investors ko ab dhyan dena hoga ki revenue kaise ban raha hai, usage patterns kaise badal rahe hain, aur asal mein business kitna stable hai.