Buska's answer

Startups, Solopreneurs, Smal & Medium Businesses, Scale ups, Content Creators, Online Influencers

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

Buska's answer

We used to work together for a great B2B SaaS startup. We were both working as Product Managers on different projects, but got along pretty well.

Working remotely, We got the chance to get to know each other better during a Team Building event in Portugal.

We almost instantly clicked and felt we should work together on side projects. Tristan had already launched several successful projects in the past, and Toni had an entrepreneurial experience a long time ago and the will to level up his «Product Game» by building tools from A to Z.

So, by the pool, we decided to brainstorm ideas and build Productivity tools as side projects, work on it at night and weekends and have some fun.

When Threads was announced we decided to build a content repurposing tool for the new platform. Over a weekend we built the landing page, defined all the platform and brand, announced it on Product Hunt the next monday.

Unfortunately, Meta didn't open the new app in Europe and didn't make an API available which blocked us to move forward.

It was a failure but it allowed us to ensure we were a fit to work together and gave us a «backbone» to build future project on and be quicker.

The next venture project came from our own frustrations:

When Tristan launched his previous app, he got a lot of coverage. But he struggled to keep track of every mention of his brand online and had to go on every other platform and social media to check for new mentions.

And as a Product Lead in a Bank, Toni spent hours researching online mentions of the products we launched to check for user reviews, comments and press coverage.

That's how we decided to build Buska, to give startups and SMBs an accessible platform to monitor their brand online on autopilot. We felt there was a real need for an Online Reputation Management tool taylored for Startups, with accurate mentions and accessible features.

But as a side project, it was difficult to go through quickly with the project, since we had a full time job.

Luckily, it was Summer Season with the holidays coming up.

Tristan had a 2 week vacation in Canada, and 16 hours on a plane with internet access.

He took that chance to finish coding a working prototype inthe plane, which he managed to do brilliantly 💪🏻.

Toni used his vacation to do the marketing, branding, and content for it.

We decided to launch on Product Hunt asap, so we had 45 days to build an audience, bring awareness to the product and build genuine relationships to support us on the day.

We engaged intensely with makers and Product Hunt communities across social media, and worked on promotional material to be ready for the launch.

We launched on October 2nd, and managed to make it to #3 Product of the Day. We received numerous positive feedback from people on Product Hunt.

It really helped us focus and improve buska to provide the best social listening solution for entrepreneurs and to build a tool to help them monitor their online reputation.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

Buska's answer

Buska is the best online presence monitoring tool for Startups and Entrepreneurs : - more accurate results from the platforms : don't waste time checking irrelevant or outdated mentions. - easy to use : the Interface is made to allow you to focus on checking your mentions and not get distracted by tons of buttons ! - accessible : We provide 3 plans for every need, with a Start plan (currently available for free) for those who want to start monitoring the reputation online

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

Buska's answer

It's the best monitoring tool for startups and entrepreneurs who want to put online mentions monitoring on autopilot

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.