u/Curious_Debt_8436

Hey! I just made a big public Google Sheet rounding up the tools freelancers are really using right now.

What’s inside:

• General Freelance Stack (core tools everyone needs)
• Dedicated sections for:
  • Writers
  • Designers
  • Developers
  • Marketers
  • Video Editors / Animators / Media Creators

Each table includes:
→ Free tier status
→ Pricing (2026)
→ Key features
→ Competitors
→ Ratings
→ Ease of use
→ Best for
→ Pros & Cons

Link: https://docs.google.com/spreadsheets/d/1KwhYPj6DNU6G6dZAtybtcaammSlYSew4tNxcssQ3FPE/edit?usp=sharing

This sheet is fully editable. Anyone can add new tools, update prices, or fix info. If you find something missing or outdated, please feel free to edit it!

What tools do you swear by in 2026 that aren’t on the list yet?

Drop them in the comments, and I’ll add the best ones.

Hope this helps!

Hiring: Full Stack Software Engineer

We are looking for a Software Engineer with 5 plus years of experience to join our team. The role focuses on full stack development using TypeScript and Vue on the frontend, with Scala and Java on the backend.

Fully remote position working on a USA-based schedule. Benefits include paid vacation and dental coverage.

Ideal candidates should have experience with:

• TypeScript and Vue
• Scala and Java
• REST APIs and backend services
• Databases
• Git, testing, and CI/CD
• Cloud, Docker, Kubernetes, or microservices experience is a plus

Salary range: USD 140,000 to USD 180,000 annually, depending on experience

More info here: https://lilowork.com/software-engineer-scala-vue/

If you enjoy building scalable web applications and backend systems in a collaborative remote environment, we would love to hear from you. DM or email to apply!

Hiring a hands-on Principal Engineer to build and scale production AI/LLM systems (not research). You'll own the architecture, deployment, evaluation, and monitoring of GenAI at scale.

What you'll do:

• Design end-to-end AI/ML platform (inference, RAG, eval pipelines, monitoring)
• Set standards for model performance, safety, and observability
• Lead decisions on LLM integration, guardrails, and cost/performance trade-offs
• Work cross-functionally with Product + Engineering

What they want:

• ~10+ years in software/AI/ML engineering
• Strong experience shipping LLM systems in production (RAG, finetuning, eval, monitoring)
• Python + frameworks (PyTorch, TensorFlow, etc.)
• Cloud + Kubernetes + MLOps (CI/CD, telemetry, experimentation)
• Experience with distributed systems and observability

Nice to have:

• Tools like MLflow, Kubeflow, SageMaker
• Model governance, bias, and drift detection
• NLP / agent systems / recommender systems background

Offer:

• ~$250K base + equity (ESOP)
• Fully remote (US only)
• Flexible hours, strong PTO, global offsites

Positioning:
High-impact role shaping the AI platform of a serious GenAI company — focused on real production systems, not prototypes.

If interested, you can find more info here: https://lilowork.com/principal-ai-ml-engineer/

If you have any thoughts or questions, don't hesitate to drop a comment or send a DM. Looking forward to connecting! Thanks!