Apps Like MightyBuzz for iPhone and iPad
Ranked alternatives
Showing 241–260 of 1,000 ranked alternatives.



CallRail
CallRail, Inc.
Monitor calls, texts, and forms on
Monitor call activity and track key metrics. Send and receive text messages using a chosen tracking number. Make and manage calls directly within the . Add tags, values, and notes to leads. Organize contacts and view call logs.

iMemo AI Note Taking & Summary
RATEL BILISIM HIZMETLERI LTD STI
Convert voice to text and extract insights
Take voice notes and convert them to text. Transcribe meetings, extract insights from audio and video. Generate summaries and translations. Store and organize notes indefinitely. Share notes directly with others.





GCB: Buy Bitcoin & Crypto
GCB FINANSAL TEKNOLOJI ANONIM SIRKETI
Trade cryptocurrencies securely and instantly
Trade cryptocurrencies with real-time price data and order execution. Manage wallet balances and track portfolio performance. Use the Grid Strategy AI bot for automated trading. Deposit and withdraw funds via bank transfer.



SignalXpert
Toni Akkari
Get crypto and forex trading signals
Receive real-time buy and sell alerts for Bitcoin, Ethereum, and major forex pairs based on AI analysis. Manage trades with risk tools and track performance metrics. Access customizable signals and historical data for informed decision-making.


Note Taker: AI Minutes
Screen Time Control LLC
Record meetings, transcribe audio, summarize notes
Record meetings with one tap for clear audio. Transcribe conversations automatically with high accuracy. Generate AI summaries to highlight key points and action items. Export recordings, transcripts, and summaries for easy sharing and reference.

CryptoFi
Litchi Labs, LLC
Learn crypto with short videos
Learn about Blockchain fundamentals, Bitcoin, Ethereum, and other cryptocurrencies through short videos. Explore crypto economics and trends like DeFi and NFTs. Access professional presentations to gain foundational knowledge in cryptocurrency.





How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.