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SpeechZap
SpeechZap
#speechzap
SpeechZap is an AI voice recorder, that let you transcribe your speech to text, format using LLM and integrate with any other piece of software using Zapier or Make.
I am planning actions for #speechzap.
I'm working on the advertising strategy for #speechzap.
I advertised #speechzap to a person who has a lot of followers.
I'm seeing the first promising results of the #speechzap app installation campaign in the USA, but I need to wait about a week more to draw initial conclusions.
I created a new manual service in #speechzap for transcribing podcasts, YouTube videos, and personal files, made a file uploader and want to check if the service will sell, following the MVP principle - minimum features and options, just to test if someone will be ready to buy.
I solved the dilemma with micropayments in Poland; I realized I don't always have to issue an invoice, which would cost me 5 PLN each time for accounting services, but instead can maintain non-invoice records for individual clients, saving both them and myself money and inconvenience. If a client insists on an invoice, I can charge an additional 6-7 PLN net or convert them to larger amounts or pre-pay if they want more services. #speechzap
I fixed the monthly minute count for annual subscription clients in #speechzap.
I fixed the issue in #speechzap with the audio player not showing up after recording.
I finally created a Google Ads campaign for #speechzap, as advertising is the leverage of trade.
I fixed a bug in #speechzap that was causing the previous note to display when the next one should have been showing.
I fixed the title generating error in #speechzap.
I have a new potential client for #speechzap.
I have planned activities for #speechzap for the upcoming days.
I initiated a conversation with an investor for #speechzap.
I've completed urgent projects and now I can focus on #speechzap.
I did a monthly settlement for partners who recommend #speechzap.
I created a script in #speechzap for generating captions in SRT format, with line division based on the maximum number of characters and punctuation recognition.
I gained another client for #speechzap, earning $29 MRR.
I implemented long press functionality for voice notes in #speechzap but faced an issue with two events triggering on mobile version - touch event and mouse event. Using `event.preventDefault()` solved the problem.
I decided to focus on creating transcriptions for movies in #speechzap and make a plugin for Davinci Resolve, finding customers through Google Ads which gives me an easy method for client acquisition.