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terryops

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Show HN: Tools.video – Browser-native video processing at 50 GB scale

2 points·by terryops·4 tháng trước·0 comments

OpenClaw in Practice: A Small Team's Field Notes

subeasy.ai
2 points·by terryops·5 tháng trước·3 comments

Show HN: SubEasy – 90 minutes free daily transcription and $39/mo unlimited

subeasy.ai
1 points·by terryops·2 năm trước·0 comments

Inspired by My Wife's Unique Interests, I Created a Transcription Platform

2 points·by terryops·2 năm trước·1 comments

comments

terryops
·5 tháng trước·discuss
Good question. Security was definitely top of mind when setting this up.

For Stripe, I use a restricted API key with read-only access to subscriptions/invoices, plus limited write permissions (e.g., creating coupons). No refund capability—that stays manual.

For Gmail/outbound actions, everything goes through human-in-the-loop. The bot drafts responses and queues them for one-click approval. Nothing leaves the system without explicit confirmation.

OpenClaw logs every tool call with full context, so auditing is built-in. The general principle: read access is generous, write access is tight and gated.

It's less "keys to the kingdom" and more "keys to the lobby with a security desk."
terryops
·5 tháng trước·discuss
OpenClaw has been blowing up lately, and for good reason. I've been running it for just a few days—here's what it actually looks like in production for a small team.

I run SubEasy.ai, a transcription/translation/voiceover platform. Good reviews, users worldwide, but perpetually understaffed. I'm not the type who enjoys managing people, so I've always been looking for ways to get more done without hiring more.

I set up OpenClaw on a cloud server with a Telegram bot, running Claude Opus. What happened next genuinely surprised me.

## Day 1: It Built Its Own Workflow

I started simple—asked it to send me a daily briefing with news and stock prices. It came back as a wall of plain text, unreadable in Telegram.

So I asked for HTML. But then it gave me local file paths I couldn't access.

I suggested: "Can you set up a repo, connect it to auto-deployment, and just send me links?"

It did. Created the GitHub repo, configured Vercel, and now every report is a clean webpage I can actually read. The whole pipeline was essentially self-built.

## Day 2: It Fixed a Production Emergency

While setting up Gmail API integration, our YouTube downloader's core component (yt-dlp) broke. Alerts everywhere.

I asked it to check for fixes. It found a patch that hadn't been released as a binary yet.

"Just compile it then."

It pulled the source, compiled it, and we deployed. Problem solved in maybe 20 minutes.

That's when I realized: this thing can actually do real work.

## What It Does Now

We gave it read access to our user database, payment system (Stripe), and email. Now it handles a lot of the daily grind:

*Customer complaints*: When a user emails us, it automatically pulls their payment history, subscription status, and usage data, drafts a response, and sends it to us for one-click approval.

*Influencer outreach*: Finding YouTube/TikTok creators to partner with used to be a manual slog—searching, evaluating content fit, checking follower counts. Lots of judgment calls that kept getting deprioritized. Now it does the initial screening automatically, dumps qualified candidates into a Notion database, and we just make final decisions.

*Review monitoring*: It checks for negative reviews daily, cross-references user data to understand what went wrong, drafts response emails. We just review and send.

## The Actual Insight

The interesting part isn't that AI can do individual tasks—we knew that. It's that AI can now handle the glue work between tasks.

Most of our jobs are really just moving between tools: check email, look up user in database, cross-reference with payment system, write response. The automation tools we had before could handle single steps, but the stitching was always manual.

Now the stitching is automated too. The more systems you connect, the more powerful it gets.

## Team Use

Our small team shares a Discord server with it. Everyone can talk to it individually or in group channels. Knowledge it learns from one person benefits everyone. It's like a shared team member that keeps growing.
terryops
·2 năm trước·discuss
I tried to let it add punctuations to a list of words from asr, but it changes the words no matter how I tweak the prompt. lol.
terryops
·2 năm trước·discuss
Breakdown of SubEasy.ai

SubEasy.ai is an all-in-one platform where you can create automatic subtitles, AI translations, transcriptions with speaker names, chat with the transcription, and export it as a video or text file document.

Transcribe:

1. Powered by Whisper: We leverage OpenAI’s Whisper model, which supports many languages with high accuracy, especially in multilingual scenarios. This gives us a competitive edge against ‘traditional’ transcribe services. 2. Enhanced Accuracy and Readability : Whisper isn’t perfect, so we aimed to maximize its potential. We implemented the following:

  - Clear +: Whisper can pick up background noises in audio/videos, like passerby voices, music, and even honking. Using Clear +, we remove these noises with DEMUCS and normalize the audio before sending it to Whisper for transcription.

  - Subtitle Reflow: Many audio/video-to-subtitle applications group large blocks of text within the same timeframe, resulting in overly long subtitles on the screen. With our exclusive Subtitle Reflow feature, you can have context-aware cutting and time-aware segmentations, improving the viewing experience. We actually use smaller NLP models to achieve this, if you’re interested in tech spec. (Just to say don’t use LLM everywhere, it’s just too expensive and very unpredictable)
3. Enhanced Transcription View: We turn audio into well-constructed articles with punctuation, sentences, and paragraphs, useful for previewing podcasts, long audios and videos, and meeting minutes.

  - Speaker Recognition: This feature identifies different speakers in a multi-speaker conversation, making it easier to follow who’s speaking. We use NVIDIA Nemo toolkit for state-of-the-art accuracy in Speaker Recognition.
What Makes it Next-Gen?

1. Context-Aware AI Translation: Most translation services work sentence by sentence, missing context-specific meanings. Using modern AI models, we create context-aware and highly accurate translations. We also introduced a second round of refinement and proofreading, launching AI Plus translation, which can sometimes outperform human translators.

2. Chat with the Transcript: We integrated GPTs with our platform, allowing users to interact with their documents with natural language. You can summarize, and rewrite transcripts and much more on ChatGPT. Since ChatGPT now roll out a lot of features(previous plus-only) to free users, actually you can use this feature with extra cost!

3. Integrated AI Companion: You can create summaries, meeting minutes, show notes, and social media content with one click without leaving the page. Regardless of the transcript language, you can always get AI content in English(Or other languages you prefer).

What Makes the Product More Than Good:

We offer a WYSIWYG video preview with multiple subtitle styles, a lightning-fast subtitle/transcript editing interface, document management system, search, video output, multi-format document output, and more. We believe we have the best overall performance and experience in this specific field.

Final Thoughts

Creating SubEasy.ai has been an incredible journey, inspired by a simple yet profound desire to make my wife's viewing experience more enjoyable. It started as a personal project but quickly evolved into something much larger, driven by the potential to help others facing similar challenges with transcriptions and subtitle translations.

For those who need reliable transcription and translation services, I invite you to give SubEasy.ai a try. You might be pleasantly surprised by its capabilities and the seamless experience it offers. Whether you're curious about the technical aspects, the cost, or just want to provide feedback, I'd love to hear from you. Your insights will help us continue to improve and innovate.

Thank you for taking the time to read about our journey and the creation of SubEasy.ai!
terryops
·2 năm trước·discuss
I created it, and it does an excellent job with subtitle segmentation and translation. Feel free to try it!