Debug Information

Processing Details

• VTT File: media.vtt
• Processing Time: September 11, 2025 at 02:18 PM
• Total Chunks: 1
• Transcript Length: 5,244 characters
• Caption Count: 48 captions

Prompts Used

Prompt 1: Context Setup

You are an expert data extractor tasked with analyzing a podcast transcript. 
I will provide you with part 1 of 1 from a podcast transcript. 
I will then ask you to extract different types of information from this content in subsequent messages. Please confirm you have received and understood the transcript content.

Transcript section:
[00:00:08.960 --> 00:00:10.160] Okay, got it.
[00:00:10.160 --> 00:00:16.640] So you're in that situation and then you meet a certain someone and things start to change.
[00:00:17.600 --> 00:00:18.240] Yeah.
[00:00:18.240 --> 00:00:35.040] And so in 2018, during my pregnancy, and you know, I'm like still like hustling and bustling plus pitching, you know, whoever I can meet, really random, we get this order for Serena Williams on our D2C channel.
[00:00:35.040 --> 00:00:44.880] And eventually, you know, a conversation started because we sold out of her SKU that she needed for one of her tennis matches.
[00:00:45.200 --> 00:00:47.440] This was like in the middle of her tennis season.
[00:00:47.680 --> 00:00:50.560] And the question was around like, well, when are you restocking?
[00:00:50.560 --> 00:00:55.200] And I had to explain like, well, you know, I'm bootstrapping and this is how I'm bootstrapping.
[00:00:55.200 --> 00:01:00.560] And basically, if I could save up enough money to get this particular SKU, that's kind of how it goes.
[00:01:00.560 --> 00:01:08.800] And I have to do a lot of the, you know, analyzing of the data to decide, you know, pick and choose which SKUs are going to be restocked.
[00:01:08.800 --> 00:01:18.720] And ultimately, that, you know, always had us in a position where we were sold out of things all the time, which is obviously a bit frustrating to the customer, but that is the reason why.
[00:01:18.720 --> 00:01:23.840] It's just like there wasn't like a ton of outside capital, if you will, that was coming in to support that.
[00:01:23.840 --> 00:01:30.320] So anyway, you know, that conversation led into, you know, well, would Serena be interested in investing?
[00:01:30.320 --> 00:01:33.040] I just, you know, asked and like shot my shot.
[00:01:33.040 --> 00:01:33.600] No way.
[00:01:33.600 --> 00:01:34.720] Oh my God.
[00:01:35.040 --> 00:01:35.520] Yeah.
[00:01:35.520 --> 00:01:49.840] And so around that same time, that conversation led into them, you know, suggesting I apply for a pitch competition that Serena was doing in partnership with Whitney Wolf Heard from Bumble, the dating app.
[00:01:49.840 --> 00:01:56.480] And so, Bumble, the fund, and Serena Ventures were coming together to invest in black female founders.
[00:01:56.480 --> 00:01:58.880] I thought this was like not going anywhere.
[00:01:58.880 --> 00:02:05.960] Like that, I mean, this was like posted on social media, and I'm sure thousands of people applied for this.
[00:02:06.280 --> 00:02:10.200] So, you know, I just thought I was going to get lost in the shuffle.
[00:02:10.200 --> 00:02:23.400] And I went through several rounds of like, you know, conversations and as a part of the process, as did the other finalists, but I made it as you know, one of the top three finalists and eventually won the investment.
[00:02:23.400 --> 00:02:25.640] And they were my first investors in.
[00:02:25.960 --> 00:02:27.400] That is so cool.
[00:02:27.400 --> 00:02:28.520] How much was the investment?
[00:02:28.520 --> 00:02:30.280] How much did you win?
[00:02:30.920 --> 00:02:32.280] I can't share.
[00:02:32.280 --> 00:02:33.560] Oh, okay, right.
[00:02:33.560 --> 00:02:34.600] Sorry.
[00:02:34.600 --> 00:02:35.080] Got it.
[00:02:35.080 --> 00:02:35.400] Got it.
[00:02:35.400 --> 00:02:35.880] Got it.
[00:02:35.880 --> 00:02:37.160] You know what I think is funny?
[00:02:37.160 --> 00:02:47.640] And we've spoken about this on the show before: is like everyone thinks that it's just like overnight success, but actually, it literally takes 10 years to reach overnight success.
[00:02:47.640 --> 00:02:50.120] And I feel like that's probably how you're viewed.
[00:02:50.120 --> 00:02:53.560] Like now you've got this amazing celebrity partner.
[00:02:53.560 --> 00:02:57.320] You've got people who, you know, obviously celebrities that wear you.
[00:02:57.640 --> 00:03:06.360] You're doing all these amazing things, but you've been hustling at this since 2009, which is a long, bloody time.
[00:03:06.360 --> 00:03:09.560] God, great perseverance.
[00:03:13.080 --> 00:03:15.160] Hey, it's June here.
[00:03:15.160 --> 00:03:19.960] Thanks for listening to this amazing episode of the Female Startup Club podcast.
[00:03:19.960 --> 00:03:29.320] If you're a fan of the show and want even more of the good stuff, I'd recommend checking out femalestartupclub.com, where you can subscribe to our free newsletter.
[00:03:29.320 --> 00:03:37.560] We send it out weekly covering female founder business news, insights and learnings in D2C, and interesting business resources.
[00:03:37.560 --> 00:03:48.000] And if you're a founder building an e-commerce brand, you can join our private network of entrepreneurs called Hype Club at female startupclub.com forward slash hypeclub.
[00:03:48.320 --> 00:04:00.000] We have guests from the show joining us for intimate ask-me-anythings, expert workshops, and a group of totally amazing, like-minded women building the future of D2C brands.
[00:04:00.000 --> 00:04:06.160] As always, please do subscribe, rate, and review the show, and post your favorite episodes to Instagram stories.
[00:04:06.160 --> 00:04:09.280] I am beyond grateful when you do that.

Prompt 2: Key Takeaways

Now please extract the key takeaways from the transcript content I provided.

Extract the most important key takeaways from this part of the conversation. Use a single sentence statement (the key takeaway) rather than milquetoast descriptions like "the hosts discuss...". 

Limit the key takeaways to a maximum of 3. The key takeaways should be insightful and knowledge-additive. 

IMPORTANT: Return ONLY valid JSON, no explanations or markdown. Ensure:
- All strings are properly quoted and escaped
- No trailing commas
- All braces and brackets are balanced
Format: {"key_takeaways": ["takeaway 1", "takeaway 2"]}

Prompt 3: Segments

Now identify 2-4 distinct topical segments from this part of the conversation.

For each segment, identify:
- Descriptive title (3-6 words)  
- START timestamp when this topic begins (HH:MM:SS format)
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Most important Key takeaway from that segment. Key takeaway must be specific and knowledge-additive.
- Brief summary of the discussion

IMPORTANT: The timestamp should mark when the topic/segment STARTS, not a range. Look for topic transitions and conversation shifts.

Return ONLY valid JSON. Ensure all strings are properly quoted, no trailing commas:
{
  "segments": [
    {
      "segment_title": "Topic Discussion", 
      "timestamp": "01:15:30",
      "key_takeaway": "main point from this segment",
      "segment_summary": "brief description of what was discussed"
    }
  ]
}

Timestamp format: HH:MM:SS (e.g., 00:05:30, 01:22:45) marking the START of each segment.

Prompt 4: Media Mentions

Now scan the transcript content I provided for ACTUAL mentions of specific media titles:

Find explicit mentions of:
- Books (with specific titles)
- Movies (with specific titles)  
- TV Shows (with specific titles)
- Music/Songs (with specific titles)

DO NOT include:
- Websites, URLs, or web services
- Other podcasts or podcast names

IMPORTANT: 
- Only include items explicitly mentioned by name. Do not invent titles.
- Valid categories are: "Book", "Movie", "TV Show", "Music"
- Include the exact phrase where each item was mentioned
- Find the nearest proximate timestamp where it appears in the conversation
- THE TIMESTAMP OF THE MEDIA MENTION IS IMPORTANT - DO NOT INVENT TIMESTAMPS AND DO NOT MISATTRIBUTE TIMESTAMPS
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Timestamps are given as ranges, e.g. 01:13:42.520 --> 01:13:46.720. Use the EARLIER of the 2 timestamps in the range.

Return ONLY valid JSON. Ensure all strings are properly quoted and escaped, no trailing commas:
{
  "media_mentions": [
    {
      "title": "Exact Title as Mentioned",
      "category": "Book",
      "author_artist": "N/A",
      "context": "Brief context of why it was mentioned",
      "context_phrase": "The exact sentence or phrase where it was mentioned",
      "timestamp": "estimated time like 01:15:30"
    }
  ]
}

If no media is mentioned, return: {"media_mentions": []}

Full Transcript

[00:00:08.960 --> 00:00:10.160] Okay, got it.
[00:00:10.160 --> 00:00:16.640] So you're in that situation and then you meet a certain someone and things start to change.
[00:00:17.600 --> 00:00:18.240] Yeah.
[00:00:18.240 --> 00:00:35.040] And so in 2018, during my pregnancy, and you know, I'm like still like hustling and bustling plus pitching, you know, whoever I can meet, really random, we get this order for Serena Williams on our D2C channel.
[00:00:35.040 --> 00:00:44.880] And eventually, you know, a conversation started because we sold out of her SKU that she needed for one of her tennis matches.
[00:00:45.200 --> 00:00:47.440] This was like in the middle of her tennis season.
[00:00:47.680 --> 00:00:50.560] And the question was around like, well, when are you restocking?
[00:00:50.560 --> 00:00:55.200] And I had to explain like, well, you know, I'm bootstrapping and this is how I'm bootstrapping.
[00:00:55.200 --> 00:01:00.560] And basically, if I could save up enough money to get this particular SKU, that's kind of how it goes.
[00:01:00.560 --> 00:01:08.800] And I have to do a lot of the, you know, analyzing of the data to decide, you know, pick and choose which SKUs are going to be restocked.
[00:01:08.800 --> 00:01:18.720] And ultimately, that, you know, always had us in a position where we were sold out of things all the time, which is obviously a bit frustrating to the customer, but that is the reason why.
[00:01:18.720 --> 00:01:23.840] It's just like there wasn't like a ton of outside capital, if you will, that was coming in to support that.
[00:01:23.840 --> 00:01:30.320] So anyway, you know, that conversation led into, you know, well, would Serena be interested in investing?
[00:01:30.320 --> 00:01:33.040] I just, you know, asked and like shot my shot.
[00:01:33.040 --> 00:01:33.600] No way.
[00:01:33.600 --> 00:01:34.720] Oh my God.
[00:01:35.040 --> 00:01:35.520] Yeah.
[00:01:35.520 --> 00:01:49.840] And so around that same time, that conversation led into them, you know, suggesting I apply for a pitch competition that Serena was doing in partnership with Whitney Wolf Heard from Bumble, the dating app.
[00:01:49.840 --> 00:01:56.480] And so, Bumble, the fund, and Serena Ventures were coming together to invest in black female founders.
[00:01:56.480 --> 00:01:58.880] I thought this was like not going anywhere.
[00:01:58.880 --> 00:02:05.960] Like that, I mean, this was like posted on social media, and I'm sure thousands of people applied for this.
[00:02:06.280 --> 00:02:10.200] So, you know, I just thought I was going to get lost in the shuffle.
[00:02:10.200 --> 00:02:23.400] And I went through several rounds of like, you know, conversations and as a part of the process, as did the other finalists, but I made it as you know, one of the top three finalists and eventually won the investment.
[00:02:23.400 --> 00:02:25.640] And they were my first investors in.
[00:02:25.960 --> 00:02:27.400] That is so cool.
[00:02:27.400 --> 00:02:28.520] How much was the investment?
[00:02:28.520 --> 00:02:30.280] How much did you win?
[00:02:30.920 --> 00:02:32.280] I can't share.
[00:02:32.280 --> 00:02:33.560] Oh, okay, right.
[00:02:33.560 --> 00:02:34.600] Sorry.
[00:02:34.600 --> 00:02:35.080] Got it.
[00:02:35.080 --> 00:02:35.400] Got it.
[00:02:35.400 --> 00:02:35.880] Got it.
[00:02:35.880 --> 00:02:37.160] You know what I think is funny?
[00:02:37.160 --> 00:02:47.640] And we've spoken about this on the show before: is like everyone thinks that it's just like overnight success, but actually, it literally takes 10 years to reach overnight success.
[00:02:47.640 --> 00:02:50.120] And I feel like that's probably how you're viewed.
[00:02:50.120 --> 00:02:53.560] Like now you've got this amazing celebrity partner.
[00:02:53.560 --> 00:02:57.320] You've got people who, you know, obviously celebrities that wear you.
[00:02:57.640 --> 00:03:06.360] You're doing all these amazing things, but you've been hustling at this since 2009, which is a long, bloody time.
[00:03:06.360 --> 00:03:09.560] God, great perseverance.
[00:03:13.080 --> 00:03:15.160] Hey, it's June here.
[00:03:15.160 --> 00:03:19.960] Thanks for listening to this amazing episode of the Female Startup Club podcast.
[00:03:19.960 --> 00:03:29.320] If you're a fan of the show and want even more of the good stuff, I'd recommend checking out femalestartupclub.com, where you can subscribe to our free newsletter.
[00:03:29.320 --> 00:03:37.560] We send it out weekly covering female founder business news, insights and learnings in D2C, and interesting business resources.
[00:03:37.560 --> 00:03:48.000] And if you're a founder building an e-commerce brand, you can join our private network of entrepreneurs called Hype Club at female startupclub.com forward slash hypeclub.
[00:03:48.320 --> 00:04:00.000] We have guests from the show joining us for intimate ask-me-anythings, expert workshops, and a group of totally amazing, like-minded women building the future of D2C brands.
[00:04:00.000 --> 00:04:06.160] As always, please do subscribe, rate, and review the show, and post your favorite episodes to Instagram stories.
[00:04:06.160 --> 00:04:09.280] I am beyond grateful when you do that.