Think about your own work or business in this area: Maker launch on startupstash: the product is a cloud-based laboratory information system (LIMS) that facilitates the management, storage, and accessibility of laboratory data. What is the single biggest problem you have there right now? Be specific about what it costs you (time, money, customers) and what you have already tried.

Lena Gislasonnegative

The single biggest problem we face is data integrity. With our current system of spreadsheets, printed sheets, and manual retyping into a basic workflow tool, we frequently encounter discrepancies. It costs us significant time every week trying to reconcile these errors, which could potentially impact our audit readiness and client trust. We've tried implementing stricter cross-checking procedures on the bench sheets, but it's still not foolproof. I'm always looking for ways to streamline and ensure accuracy.

Simulated interest: 70/100

Willard Robelneutral

The biggest problem we have is the sheer volume of manual transcription from handwritten run sheets into spreadsheets. It’s a significant time drain, easily costing us several hours each week across the team, and it’s prone to human error which I personally have to catch. We’ve tried standardizing our naming conventions on the shared drive, but it doesn't address the fundamental issue of data entry. How does this system handle the initial capture of data? I'm concerned about disrupting our current audit cycle if the implementation is complex.

Simulated interest: 30/100

Merle Preussnegative

The single biggest problem? Our Google Sheet-based sample tracking is a time bomb. Two hours a week, I manually cross-check handwritten notes with digital entries because someone always forgets to update the Sheet or adds unvalidated columns. Last month, a mislabeled primer set cost us two days of rework—€300 in reagents and 12 hours of my time. I’ve tried templatizing the Sheet, scripting auto-parsing, even begging for a Notion upgrade, but nothing sticks. The CEO says a LIMS is ‘overkill,’ so we’re stuck with duct tape and wishful thinking. If this Maker thing actually syncs with qPCR exports and enforces sample IDs, I’d risk hacking my way in during off-hours—though I’d need proof it won’t dissolve our budget like the last ‘cost-saving’ SaaS.

Simulated interest: 60/100

Aaron Clementnegative

The single biggest problem we face is the time spent reconciling data outside our current desktop LIMS. We use spreadsheets extensively for exception handling and more complex analyses, which is inefficient and prone to errors. This daily manual work, often taking a couple of hours, detracts from more valuable tasks like client consultation and troubleshooting. We've tried improving spreadsheet templates, but it's a constant battle against complexity and potential mistakes, especially given our small team of three. It's a significant drain on resources that I'd rather invest in ensuring the accuracy and speed of our results.

Simulated interest: 75/100

Amaresh Buttnegative

The biggest problem we face is the sheer inefficiency and potential for error with our current system. Everything is spread across Excel sheets, printed logs, and instrument software. This means a lot of manual double-checking and reconciliation, which takes up significant time for my team – easily several hours a day across all of us. It also means we can't easily track samples or generate comprehensive reports quickly. We've tried digitizing data into master Excel files, like I did with QC logs recently, but it's incredibly labor-intensive and doesn't fully solve the tracking and reporting issues.

Simulated interest: 70/100

Jan de Grootnegative

The single biggest problem is the sheer amount of time I spend manually organizing and renaming instrument files. We log results in spreadsheets, but PDFs from the GC-MS and HPLC end up in a cloud folder with inconsistent naming conventions. For an upcoming audit, I spent three solid days just reconciling and renaming files to meet external reviewer standards. This is time I should be spending on method development or actual chemistry. I've tried creating elaborate Excel macros and strict personal naming rules, but it's still a constant battle to keep things straight, especially when my colleague might save something differently.

Simulated interest: 75/100

Rochelle Gusikowskinegative

The biggest problem right now is the sheer amount of time my team and I spend manually compiling client reports and trying to track sample provenance. It feels like we're drowning in spreadsheets and Slack messages, and I personally have to review everything meticulously before it goes out. It's not just inefficient; it's a significant bottleneck that delays our turnaround and frankly, it worries me that something could get lost or misinterpreted. We've tried to standardize our spreadsheet templates, but it's still very ad hoc and prone to errors. I'd estimate it costs us at least 10-15 hours per week collectively, which is time we desperately need for scientific work and growth.

Simulated interest: 80/100

Spencer Pfeffernegative

The biggest issue we have right now is the amount of time my team and I spend manually cross-referencing bench observations that are still jotted down on paper cards with our LIMS. It's a real drain, easily taking up close to an hour of my day, every day. This isn't just tedious; it introduces a risk of transcription errors, which is unacceptable when you're talking about product safety. We've tried to be diligent, but it’s a clunky process. I'm also concerned about how difficult it would be to quickly pull up that historical paper data if we ever needed it for a complex investigation.

Simulated interest: 70/100

Franca Erreranegative

The biggest problem is the sheer administrative burden of our legacy systems. Managing sample IDs on a desktop program, scheduling in Excel, and certificates on a shared drive creates constant data traceability issues. Every batch release requires me to personally audit the entire record trail, which consumes far too much of my time – easily two days a week. I've tried implementing stricter internal checks and templates for the spreadsheets, but it doesn't fundamentally solve the disparate nature of the data. This manual effort diverts me from more strategic quality initiatives and increases the risk of human error, which is unacceptable.

Simulated interest: 75/100

Anala Guneta-Asannegative

The biggest problem is the sheer amount of manual work needed to keep everything straight. I spend nearly six hours a day reconciling paper registers, Excel sheets, and WhatsApp messages. It costs me valuable time that could be spent on actual lab coordination and mentoring, and there's always a nagging fear of human error leading to incorrect results. We've tried organizing the Excel sheets better and creating stricter protocols for WhatsApp, but it’s still a constant battle against disorganization and lost information.

Simulated interest: 0/100