BuliAI
Create natural Bangla and English voices with BuliAI.
AI & Machine Learning·Productivity
About
BuliAI is a text to speech and AI voice generator that allows users to create natural-sounding Bangla and English voices. The platform features over 30 male and female AI voices to choose from.
It is designed for creators, educators, and anyone needing voiceovers for videos, learning materials, and other audio projects. Users can generate speech quickly and easily without needing specialized recording equipment.
What makes BuliAI different is its specific focus on providing quality Bangla AI voices alongside English options, filling a unique need for regional content creators looking for authentic localization tools.
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we initially built as an internal tool and it crushed for us Then we did a beta test where I invited several friends which are also agency owners as well And when they both closed like between them three five figure clients within two weeks of using the tool I really thought we really had something here
Build an Internal Tool First to Validate Before Going Public
Ivan validated Lancer by using it inside his own agency before showing it to anyone else. A small beta with trusted peers who quickly landed real clients gave him undeniable proof of value, removing the guesswork before committing to a full product launch.
Hitting copy and paste on your iOS strategy is probably not going to work on Google Play... you've got the $2,000 device and you've got a $200 device and the users who are on the more premium devices actually behave quite similarly to iOS... but that will not get you the full benefit.
Don't Copy-Paste iOS Strategy to Android — Devices, Users, and Willingness to Pay Differ
Premium Android device users behave like iOS users — but they are a fraction of the 2.5 billion Android install base. The majority of Android users worldwide are on mid-range and entry-level devices with different price sensitivities, payment preferences, and usage patterns. Developers who narrow their strategy to iOS-parity targeting leave the majority of the platform's scale untouched.
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