Profitable 💰
Now Scaling up 🚀🤞
Transcriptions - https://transcript.lol
Content repurposing - https://repurpose.lol
Travel planning - https://roamaround.app
Personal portfolio - https://pkp.io
I started out just for the fun of building. Freedom is another big factor I discovered along the way.
It was rainy this weekend so, worked on Sunday and took Monday off instead 😅
I started out just for the fun of building. Freedom is another big factor I discovered along the way.
It was rainy this weekend so, worked on Sunday and took Monday off instead 😅
Spent a lot of time researching techniques specific to each sequence:
- 🔢 # of emails in the sequence
- 💬 Key message in each email
- ⏱️ Timing the message
Spent a lot of time researching techniques specific to each sequence:
- 🔢 # of emails in the sequence
- 💬 Key message in each email
- ⏱️ Timing the message
📢 Ad campaigns:
Weeks of work leading up to this moment! Launched our first Google Ads campaign on Sunday. Got rejected with an inconspicuous policy error. I have tried everything I could think of to get around this - Google is very unhelpful here!
📢 Ad campaigns:
Weeks of work leading up to this moment! Launched our first Google Ads campaign on Sunday. Got rejected with an inconspicuous policy error. I have tried everything I could think of to get around this - Google is very unhelpful here!
Moved to Spain for the next couple of months. Same consistency in the routine just a different location.
Rebuilt the pricing page and upsell components. Focusing on the final step in the funnel:
Visitor -> User -> Key feature use -> Subscriber
Moved to Spain for the next couple of months. Same consistency in the routine just a different location.
Rebuilt the pricing page and upsell components. Focusing on the final step in the funnel:
Visitor -> User -> Key feature use -> Subscriber
I don't want to overload the path to key feature usage. I plan to show this right after user requests their first transcript and waiting for the result. Are there better ways to gather this?
I don't want to overload the path to key feature usage. I plan to show this right after user requests their first transcript and waiting for the result. Are there better ways to gather this?
It's your job to convince your users to care! We have to get users to the wow moment as quickly as possible! In practice, this means: keeping the funnel to key feature usage as short and distraction free as possible.
It's your job to convince your users to care! We have to get users to the wow moment as quickly as possible! In practice, this means: keeping the funnel to key feature usage as short and distraction free as possible.
Been doing some groundwork for a consistent marketing push. Need to crack the distribution problem well or everything else I’m building is for nothing
Also, I have finally taken a few days off this week with a long weekend trip to Norway.
Been doing some groundwork for a consistent marketing push. Need to crack the distribution problem well or everything else I’m building is for nothing
Also, I have finally taken a few days off this week with a long weekend trip to Norway.
I’m grateful that I get to wake up to this and build my company on my own terms.
I’m grateful that I get to wake up to this and build my company on my own terms.
I will give investor updates bootstrapping.
I will give investor updates bootstrapping.
I will give investor updates bootstrapping.
I will give investor updates bootstrapping.
I will give investor updates bootstrapping.
I will give investor updates bootstrapping.
Thanks to @EE I'm practically cut-off from internet this week so, I challenged myself to build offline!
Thanks to @EE I'm practically cut-off from internet this week so, I challenged myself to build offline!
Models tested:
- o3-mini-high (ChatGPT)
- DeepThink R1 (DeepSeek)
- Claude 3.5 Sonnet
- Grok 3 beta (thinking on)
Models tested:
- o3-mini-high (ChatGPT)
- DeepThink R1 (DeepSeek)
- Claude 3.5 Sonnet
- Grok 3 beta (thinking on)
Very happy with the results of scaling work last week. Transcript LOL demonstrated it can scale, and more importantly scale quick!
Onto improving other areas now!
Very happy with the results of scaling work last week. Transcript LOL demonstrated it can scale, and more importantly scale quick!
Onto improving other areas now!
- Size of each active job
- Size of each queued job
- Mean-time to completion per job per size
- Size of each active job
- Size of each queued job
- Mean-time to completion per job per size
🚀 1.9 minutes to transcribe per hour of audio
🚀 13 seconds or less for files under 20 mins
What's measured will be improved!
🚀 1.9 minutes to transcribe per hour of audio
🚀 13 seconds or less for files under 20 mins
What's measured will be improved!
There are so many scenarios for communicating to my users:
There are so many scenarios for communicating to my users:
Saves me so much time as I don't have to go back and forth when a customer writes to me with an issue. I can easily log-in as them and dissect the issue faster!
Saves me so much time as I don't have to go back and forth when a customer writes to me with an issue. I can easily log-in as them and dissect the issue faster!
Second cycle of weekly planning - delivered nearly twice as much!
Second cycle of weekly planning - delivered nearly twice as much!
✅ Infra scale up work in prod
✅ Started tracking some key transcription metrics: time to transcribe, transcription quality, diarization quality etc.
➡️ Audio > 20 mins - transcript in 2 secs per minute 🔥
➡️ Audio < 20 mins - transcript in 45 secs per minute 👀
✅ Infra scale up work in prod
✅ Started tracking some key transcription metrics: time to transcribe, transcription quality, diarization quality etc.
➡️ Audio > 20 mins - transcript in 2 secs per minute 🔥
➡️ Audio < 20 mins - transcript in 45 secs per minute 👀
Next, I break the crucial items down to smaller tasks and put them into weekly cycles. I plan for the week ahead on Sundays. Currently active projects at TLOL.
Next, I break the crucial items down to smaller tasks and put them into weekly cycles. I plan for the week ahead on Sundays. Currently active projects at TLOL.
✅ 60-90 mins at the gym
✅ High protein big breakfast
These days it’s usually haggis and eggs with toast for me!
✅ 60-90 mins at the gym
✅ High protein big breakfast
These days it’s usually haggis and eggs with toast for me!
✅ Transcript v2 is out
✅ Migrated all users & Subscriptions
✅ Research new GPU deployments
This week:
👉 VAT returns
👉 Migrate transcripts to v2
👉 API for v2 (fully featured)
👉 Migrate services to new infra architecture
✅ Transcript v2 is out
✅ Migrated all users & Subscriptions
✅ Research new GPU deployments
This week:
👉 VAT returns
👉 Migrate transcripts to v2
👉 API for v2 (fully featured)
👉 Migrate services to new infra architecture