All AI tools

TimedSubs is an online tool for subtitle delivery workflows, offering two main capabilities: first, aligning a finalized script with its corresponding voiceover to generate subtitle files with an accurate timeline; second, translating existing SRT, VTT, and ASS subtitles while preserving the original timestamps. It emphasizes keeping approved wording unchanged, adding only audio-aligned timing, and surfacing timeline issues that could cause an upload to fail before download. It supports exporting to formats such as SRT, VTT, SBV, ASS, timecode TXT, JSON, and ZIP. It offers one-time timing packs and translation packs, as well as subscription plans for channels, course clips, and small-batch publishing, plus a private beta API. New users get 15 minutes of free timing credit, with no credit card required.

Timehero com

AI-powered task planning and work management tool for teams.

Timelinify

Quickly generate editable visual timelines from a topic or notes, suitable for learning and project planning.

Timelygrader

AI grading assistant for instructors to streamline feedback and grading processes with human oversight.

timergy

Doodle-style scheduling polls: create polls, vote, get results and finalize.

timesfm

Google Research's open-source pretrained time-series foundation model for time-series forecasting. Supports long context (16k) and long-horizon forecasting up to 1k steps, which is widely used for financial and quantitative investment predictions.

Timest

AI tool to transform ideas into actionable tasks with time estimates.

timetable-api-node

Real-time Lviv (Ukraine) public transport: stop arrivals, live vehicle positions, route geometry and nearby stop discovery.

Timetailor

AI-powered time-management assistant for automated scheduling and task prioritization.

Timetk

Time attendance and daily reporting tool with AI-powered insights for workforce management.

TimeTuna

AI design

TimeTuna is an online appointment scheduling tool whose main selling point is beautiful design, officially positioned as "what if Calendly were as beautiful as WeTransfer." It is aimed primarily at coaches, consultants, agencies, and other users who need to meet with clients one-on-one or collaborate as a team, offering deeply customizable booking pages. Users can create a page for free without a credit card and complete initial setup in about 60 seconds. Core capabilities include: real-time two-way sync with Google, Microsoft, and iCal calendars to avoid double bookings; branded backgrounds such as video, YouTube, avatars, and logos; support for multiple meeting durations on the same page; automatic generation of Google Meet, Microsoft Teams, and Zoom links; collecting prepayments via Stripe, with time slots confirmed only after payment is received to reduce no-shows; email and SMS reminders; website embedding; custom domains; multi-host and round-robin scheduling; automatic cross-time-zone conversion; recommended time slots; custom form fields; in-person meeting addresses and maps; multiple booking pages; team accounts; custom emails and SMS (bring your own Twilio); Webhooks and Zapier integrations, and more. The free version includes basic booking, calendar sync, email confirmations, unlimited booking pages, and embedding; paid plans such as Pro, Executive, and White Label provide advanced features including custom domains, paid bookings, team collaboration, SMS, and Webhooks.

Tina

Tina is a research project that explores how to efficiently inject reasoning abilities into small language models during reinforcement learning using low-rank adaptation (LoRA). The project paper is titled "Tina: Tiny Reasoning Models via LoRA" and has been accepted by ICLR 2026. Its core question is: at how low a cost can reasoning abilities be efficiently imparted to language models through reinforcement learning? Experiments show that, on the same base model, the Tina models achieve performance comparable to or even better than current state-of-the-art baseline models at a cost far lower than full-parameter training. The best Tina model achieved a performance improvement of more than 20% on AIME24, with a Pass@1 accuracy of 43.33%. Reproducing the best checkpoint requires only $9, and reproducing all experiments from scratch requires only $526. The project is developed based on HuggingFace's open-r1 project, uses the GRPO algorithm for LoRA reinforcement learning training, and provides training and evaluation scripts. The code repository includes configuration files, experiment recipes, and dataset constants, among other things, for researchers to reference and reproduce.

Tinder Ice Breakers

AI-powered ice breaker generator for dating apps.

Tingnao AI

Professional intelligent recording assistant.

Tinta Piel

AI images

Tattoo design and try-on on your own photo

Tiny ai

AI assistants

Platform to create your own AI by chatting.

Tiny Docs

AI learning

Animated educational content for kids about health and wellness.

tiny-go-mcp-server

Minimal Go wrapper around the MCP go-sdk for building stdio servers, with struct-tag JSON Schema inference and minimal boilerplate.

tiny-graphrag

Tiny-Graphrag is a simplified version of a GraphRAG implementation, with the goal of providing a fully functional GraphRAG system with minimal code. The project implements the complete process of adding documents and supports local queries and global queries. Tiny-Graphrag runs with dependencies on OpenJDK and Neo4j and the GDS plugin, and currently only supports zhipu's LLM and Embedding services. Adding documents supports all text format files. After processing is complete, a workspace folder will be generated in the current directory, containing community, chunk, and doc information. The repository additionally provides documentation explaining the core code, making it easier for beginners to understand the overall structure of the project. The author explicitly states that Tiny-Graphrag is a simplified implementation and is not suitable for production environments.

tiny-qwen

tiny-qwen is an open-source project on GitHub that provides a minimalist reimplementation of the Qwen 3.8 model in PyTorch. It offers a single-file, multi-purpose agentic harness and supports int4 quantization. The project is aimed at developers who find the Hugging Face code hard to read, and can be used as a library or to switch models and quantization via launch parameters, or to point the same harness at any OpenAI-compatible endpoint.

tiny-universe

tiny-universe is an open-source "Large Model White-Box Construction Guide" by Datawhale, designed to help readers with a traditional deep learning background build a large model system entirely by hand starting from underlying principles. The project covers the large model itself, RAG, Agent, and evaluation systems, including topics such as Tiny Transformer, Tiny Llama3, Tiny RAG, Tiny Agent, Tiny Eval, Tiny Diffusion, and Tiny GraphRAG, and comes with complete code implementations and explanations, emphasizing "white-box" and reproducibility. All topics are implemented from scratch, without relying on highly encapsulated toolkits and APIs, and are suitable for learners who wish to gain an in-depth understanding of the core principles of large models.

TinyArt

TinyArt is an AI-based image and video creation tool website, focused on simple editing and professional results, allowing users to turn ideas into visual works without complex design skills. It offers text-to-image generation, video generation using Veo 3, automatic background removal, image resolution enhancement, watermark removal, removal of unwanted objects, and on-demand editing and customization of images. TinyArt also provides smart mini apps, including automatically generating professional ID photos with backgrounds, restoring old and damaged photos with AI, and face swapping onto original photos. Its positioning covers a variety of use cases such as e-commerce and social media, and it claims it can batch process up to 30 files and reduce photo costs by 90%. The website showcases community works and user reviews, and supports a variety of AI models including Gemini, OpenAI, and others, and users can start using it for free.

Tinybeans

AI video

Tinybeans is a private photo and video sharing app for families, used by millions of parents. It helps parents safely record and share their children's growth moments, and lets distant relatives and friends stay up to date on their children. Users can view, comment, and interact within the app or through email updates, and can also print photos into albums. In addition, Tinybeans also provides parenting articles and a weekly newsletter covering topics such as sleep, activities, shopping, and travel. The company says more than 4 million families use it.

Tinybird

Tinybird is a set of data infrastructure and tools for enterprises, built on managed ClickHouse, helping teams ship analytical features faster and at lower cost. It can handle 30 million requests per day with sub-second latency, freeing developers from having to manage ClickHouse clusters, ingestion, and the API layer themselves. Tinybird emphasizes developer experience, supports processing streaming data with SQL, and can publish queries as APIs in one click. It has built-in support for coding agents, allowing AI programming agents to build and deploy analytical features. On security and compliance, Tinybird is SOC 2 Type II, HIPAA, and GDPR compliant, and offers SSO/SAML authentication, role-based access control, dedicated clusters and SLAs, compute-compute separation, bottomless storage and zero-copy replication, as well as dedicated engineering support.

Tinygains

Habit tracking platform with AI suggestions and reminders for building consistency.

TinyLaunchpad

Launch your tiny side projects

TinyLlama