SShortSingh.
Back to feed

Viewers' Unanswered Questions Reveal Video Ideas in Your Niche

0
·2 views

The article argues that the top comments under popular videos in a niche often contain questions the videos left unanswered, signaling what viewers want to learn next. It recommends selecting roughly 10 to 20 of the most-viewed videos on a topic, ideally including beginner-focused and competitor uploads, so the patterns come from varied creators. Using YouTube scraping tools, the author suggests sorting by view count, filtering out videos with few comments, and collecting top-level comments in relevance order while excluding replies. Questions are identified by sentence-ending question marks or question-word openers, with very short reactions discarded. The process then groups questions by their most common topic word and counts distinct commenters to rank which questions recur most.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Quy trình bốn bước giúp tóm tắt tài liệu kỹ thuật dài bằng AI mà không bỏ sót chi tiết

Bài viết chia sẻ cách dùng chatbot AI để tóm tắt tài liệu kỹ thuật dài như RFC hay tài liệu API mà không làm mất các chi tiết quan trọng. Thay vì cắt văn bản theo số ký tự cố định, tác giả khuyên nên chia theo từng mục như xác thực, endpoint, mã lỗi và giới hạn. Mỗi phần được trích xuất theo một yêu cầu cụ thể, chẳng hạn liệt kê tham số bắt buộc, giới hạn hệ thống và những điều tài liệu không nói rõ, đồng thời yêu cầu AI chỉ dùng thông tin có trong văn bản. Các kết quả sau đó được gộp thành bảng tra cứu nhanh, đánh dấu những mâu thuẫn giữa các phần vì đó thường là nguồn gốc của lỗi. Cuối cùng, người đọc nên kiểm tra chéo vài dòng với tài liệu gốc và kiểm tra chính sách công ty trước khi đưa tài liệu nội bộ vào công cụ AI công cộng.

0
ProgrammingDEV Community ·

TornadoVM 7 Lets Java Code Run on GPUs and FPGAs, GrapheneOS Gains Bank App Support

TornadoVM 7 has been released, dynamically compiling standard JVM bytecode into OpenCL, CUDA, or SPIR-V so Java programs can execute on GPUs and FPGAs. The update improves memory handling and reduces data transfer overhead between host and device. Separately, about a dozen major banking apps have started explicitly allowing verified GrapheneOS installations despite strict hardware attestation and Play Integrity checks. This lets privacy-focused Android users keep the hardened operating system without giving up mobile banking. The roundup also highlighted OBS Studio 33 and a community remaster of the 1990s game One Must Fall 2097.

0
ProgrammingDEV Community ·

Loan Match Uses One AI Call to Match 10,000 People With Personal Loans

A developer built Loan Match, a system that takes a CSV of people, reads lender websites daily, and emails each person a tailored list of loans they may qualify for, with reasons. The design began from fixed requirements rather than tool choice, and the file bypasses the API entirely: the browser uploads directly to S3 in checksummed chunks via presigned URLs, since API Gateway's size and timeout limits would fail on large files. A queue sits between S3 and the Lambda processor, providing visible retries, a dead-letter queue for failures, and a concurrency cap to protect the database. The Lambda streams rows in constant memory, normalizes messy spreadsheet data, and bulk-loads valid records into PostgreSQL, rejecting the whole import if more than 20% of rows are invalid. The author reports that the Go rewrite loads one million rows in about six seconds.

0
ProgrammingDEV Community ·

Supermicro Unveils 4U Server With 160 Hot-Swap NVMe Drive Bays

At FMS 2026, Supermicro showcased the ASG-4116S-NU160R, a 4U server that houses 160 NVMe SSD bays. The system uses standard 2.5-inch U.2 drives rather than a newer EDSFF form factor, which far exceeds the typical 24 to 48 drives found in comparable high-density servers. Its two-level slide-out tray separates the hot-swap drives from the CPU, memory, and networking, while central PCIe switches manage the connectivity that a single CPU could not provide directly. Each bay runs at PCIe 4.0 x1, and power and cooling are handled by redundant 2600W supplies and rear fans. The design aims to reduce server count, ports, and power overhead for large flash storage deployments.