The hottest Research tools Substack posts right now

And their main takeaways
Category
Top Science Topics

John Cochrane gets AI-pilled

In My Tribe • 440 implied HN points • 25 Feb 26
đź•ą Technology Research tools
  1. Modern AI tools can give concise, organized, referee-quality feedback on academic work that rivals top human reviewers.
  2. It’s uncertain how much extra value domain experts add versus powerful general models, and that uncertainty matters for where investors should put money.
  3. AI speeds routine research tasks like writing code and updating graphs by a large margin, but models can do unexpected things and their outputs need careful human checking.

The Architecture Of Ideas

Adjacent Possible • 506 implied HN points • 03 Feb 26
🪑 Design Research tools
  1. Curating a notebook or collection is itself a creative act: assembling sources, visuals, and artifacts turns research into an exhibit that shapes how ideas are discovered and shared.
  2. A creative environment is broad and intentional: physical spaces, digital tools, rituals, and social networks all act as infrastructure that helps capture slow hunches and produce serendipitous idea collisions.
  3. Practical workflows and rules make long-form thinking possible: capture systems, movable-text tools, editing habits, and AI-assisted research help organize messy fragments so you can surface ideas you wouldn’t have found otherwise.

Future Of Protein Sequencing

ASeq Newsletter • 29 implied HN points • 11 Mar 26
🔬 Science Research tools
  1. Protein sequencing is much harder than DNA sequencing and has fewer broad, foundational applications, making commercial success expensive and difficult.
  2. Without big academic champions and large research projects to drive adoption, companies are forced into niche revenue paths that pull development away from a general-purpose sequencing platform.
  3. There are realistic niche opportunities like biopharma QA/QC and sensitive biomarker detection, but turning protein sequencing into a widely used tool will require sustained funding, risk tolerance, and strong research adopters.

What comes next, if Claude Code is as good as people say.

The Future, Now and Then • 198 implied HN points • 15 Jan 26
đź•ą Technology Research tools
  1. Powerful AI agents can autonomously build and launch products and startups, letting individuals generate quick, small incomes with very little effort.
  2. Because the tools are widely available, those early gains will be copied and flooded across the internet, creating lots of low-quality, indistinguishable offerings and collapsing the initial market advantage.
  3. In science and academia, AI will boost individual productivity but steer research toward easy, AI-friendly topics, making evaluation more about taste than discovery and risking long-term harm unless institutions consciously adapt.

A Biologist's Guide to Biotech

A Biologist's Guide to Life • 22 implied HN points • 12 Feb 26
🔬 Science Research tools
  1. Biotechnology—from ancient agriculture to modern medicine—powers food and health and has transformed human society and life expectancy.
  2. Research tools like sequencing, PCR, CRISPR, and lab automation accelerate discovery and are often easier to commercialize than whole crops or drugs because they avoid heavy clinical and scaling barriers; selling them means convincing scientists they cut costs or enable new, publishable work.
  3. Building biotech companies is very different from building software: it requires lab space, expensive reagents, patents, regulatory know-how, and often partnerships with big ag or pharma, so science training should better prepare people for these practical business and legal realities.
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The ArXiv Problem

Gonzo ML • 189 implied HN points • 19 Jun 25
đź•ą Technology Research tools
  1. Many people struggle to keep up with the overwhelming number of research papers being published, which leads to frustration and unread lists.
  2. ArXivIQ is a tool designed to help curate and summarize papers in a quicker way, providing 15-minute reads instead of lengthy sessions.
  3. The author emphasizes transparency in using AI to assist with research, acknowledging that it's unrealistic for anyone to read every important paper.

ANOTHER Nanopore Company! (Meilitech)

ASeq Newsletter • 21 implied HN points • 16 Dec 25
đź•ą Technology Research tools
  1. Meilitech has introduced the MerrySeq nanopore platform with modest claimed performance (around 95% accuracy) and small device pore counts (1–96), positioning it differently from bigger competitors.
  2. The platform emphasizes reusability and openness: chips are advertised as reusable 5–10 times with dry/wet separation, and the system offers multiple pore protein options plus raw-trace output for user tinkering.
  3. The product looks less mature than other offerings but could be attractive as a low‑cost, hackable research tool; it also sells patch‑clamp rigs and standard data outputs, though real-world availability and performance are unclear.

A Sneak Peak into New Spatial Analysis Tools

LatchBio • 23 implied HN points • 23 Jul 25
đź•ą Technology Research tools
  1. There's an upcoming webinar on July 29, 2025, focused on a new tool for analyzing spatial datasets. It's hosted by Takara Bio and LatchBio.
  2. The webinar will showcase various methods like image alignment and gene expression analysis, so attendees can learn about these important topics.
  3. Participants will get to see live demonstrations of how to use these new analysis methods, which can be very helpful for anyone working with the Seeker™ and Trekker™ datasets.

The Open Source Stack for Biological Imaging

LatchBio • 17 implied HN points • 29 Jan 25
🔬 Science Research tools
  1. There are many open-source tools for biological imaging like Napari, ImageJ, Cellpose, CellProfiler, and Suite2p. Each tool has unique features and helps scientists visualize and analyze complex biological data.
  2. Using these tools, scientists can perform tasks such as tracking embryo development, analyzing protein interactions, segmenting cells, and studying neural activity. This technology makes research more efficient and accurate.
  3. Modern data infrastructure can greatly improve the use of these imaging tools. Centralizing resources, using container templates, and optimizing data transfer enhances research productivity and collaboration among teams.

Some Thoughts On 10X Genomics

ASeq Newsletter • 36 implied HN points • 18 Jan 24
🔬 Science Research tools
  1. Spatial revenue for 10X Genomics is increasing, while single cell revenue growth is slowing down.
  2. There may not be much growth expected in single cell applications for 10X Genomics, but spatial sequencing shows potential for growth.
  3. 10X Genomics faces competition in the single cell market, but may retain a significant market share.

You can now run single-cell experiments in a tube with 4.5 hours of hands-on time

LatchBio • 12 implied HN points • 26 Dec 24
đź•ą Technology Research tools
  1. A new single-cell sequencing technology makes experiments easier and faster, only needing about 4.5 hours of hands-on work. This means more scientists can do these experiments without needing a big budget or lots of extra equipment.
  2. The new method allows for better scalability, letting researchers run from 1 to 96 samples easily. This flexibility can lead to more data and insights in various experiments, such as drug development or studying disease.
  3. The SimpleCell technology also includes user-friendly analysis tools, making it easier for scientists to understand and visualize their results. This helps them feel more in control of their research and get valuable insights quickly.

Ask questions about your single cell data with natural language

LatchBio • 11 implied HN points • 12 Dec 24
đź•ą Technology Research tools
  1. Single cell sequencing helps scientists understand individual cells better. This technique is key for studying diseases and biological processes.
  2. Bench scientists need simple tools to analyze single cell data without needing extensive computational skills. This will help them work more independently and quickly.
  3. Providing scientists with easy access to their data will lead to new questions and insights in research. This can improve drug development and other important biological discoveries.

Still Time to Register: Takara Bio x LatchBio Spatial Webinar

LatchBio • 1 implied HN point • 28 Jul 25
🔬 Science Research tools
  1. There's a webinar on July 29, 2025, where Takara Bio and LatchBio will show a new tool for analyzing spatial data from specific kits.
  2. Participants will learn practical ways to filter data, compare samples, and explore gene expression in different tissue areas.
  3. This session is great for anyone using Seeker™ kits or those interested in spatial biology, providing a hands-on look at the new analysis tool.

Arm Up. It's 2026

Crypto Good • 0 implied HN points • 01 Jan 26
đź•ą Technology Research tools
  1. The old tools and slow methods have failed and the world’s big problems need solutions that move far faster and smarter than human speed alone.
  2. Modern AI can massively amplify one person’s impact by automating deep research, writing, coding, media, and fundraising so work that took weeks happens in seconds.
  3. Adopt a concrete AI toolkit—research, real-time, creative, and grant tools—and use them now to scale impact instead of relying on outdated approaches.

NotebookLM: Changemaker’s Tool for Real Change

Crypto Good • 0 implied HN points • 15 Dec 25
đź•ą Technology Research tools
  1. AI tools make deep research fast and remove the old excuse of not having time to do thorough, evidence-based work.
  2. NotebookLM pulls real sources and instantly synthesizes them into formats like audio overviews, narrated videos, slide decks, and infographics so you can consume findings in different ways.
  3. For changemakers, this lets you counter myths with data, digest policies quickly, and find root causes so decisions are informed and fast.

Izon

ASeq Newsletter • 0 implied HN points • 26 Aug 25
đź•ą Technology Research tools
  1. Izon has a unique machine for measuring particle sizes that goes beyond just measuring current, which provides more detailed information.
  2. The company can change the size of tiny openings in their device, allowing them to analyze particles that are much smaller than what other machines can handle.
  3. Despite having been around for a while and seeing some funding during COVID, Izon hasn't yet revealed major breakthroughs, but their technology has the potential for more exciting uses in the future.