Go to section
Sponsor
MongoDB - Build AI That Scales
🗄️ Database
#1 website for AI tools.Used by 90M+ humans.
TAAFT Tutorial
Generate image
Tasks
Generate text
Free mode
Trending
Leaderboard
Characters
Mini tools
New
Featured
Lists
Agents
Requests
Jobs
Map
Newsletter
Starter pack
Free tools
Speech to text
Text translator
Remove background
Settings
Edit profile
My tools
Gallery
Dashboard
Inbox
Get featured
Contact TAAFT
For you
Popular
Job impact index
Most saved
Affiliate program
Submit AI tool
Notification preferences
Glossary
Home
Timeline
My profile
Create tool
Deals
Companies
Models
Robots
Papers
Fundraises
Repositories
Devices
Organizations
Events
Prompt Pack
Merchendise
Credits
APIs
Features
Tools
Countries
Collections
Mini tools
New
Featured
Lists
Agents
Requests
Jobs
Map
Newsletter
Starter pack
Free tools
Speech to text
Text translator
Remove background
Settings
Edit profile
My tools
Gallery
Dashboard
Inbox
Get featured
Contact TAAFT
For you
Popular
Job impact index
Most saved
Affiliate program
Submit AI tool
Notification preferences
Glossary
Home
Timeline
My profile
Create tool
Deals
Companies
Models
Robots
Papers
Fundraises
Repositories
Devices
Organizations
Events
Prompt Pack
Merchendise
Credits
APIs
Features
Tools
Countries
Collections
▼ Top rated
Code humanizer
Free mode
100% free
Freemium
Free Trial
Featured matches
-
First General AI Agency. Designed for long-horizon tasks.Open
Bonnie🙏 20 karmaMar 5, 2026@SureThing.io - "OpenClaw" for BeginnersI've put about 30-40 hours into SureThing, and it's seriously been a game-changer, basically acting like a virtual COO for my business! -
-
Turn Any Workshop Recording Into a Process Map in 60 SecondsOpen
-
Stand out and win more clients will personalised AI recommendationsOpen
-
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
Open
Most AI tools start from zero. You paste in context, re-explain your work, and hope the output is relevant. Every. Single. Time. remio is different. It automatically captures everything you work on — web pages you browse, documents you read, meetings you record, emails you send — and turns it all into a living, private knowledge base. No manual tagging. No copy-pasting. No setup. Then, when you need to get something done, remio already knows your context. Write a doc, draft an email, generate a report, create slides — just tell it what you need. It pulls from your actual work history to produce output that's genuinely relevant to you. What makes remio different: 🧠 Passive, automatic context capture — works silently in the background 🔒 Local-first & privacy-focused — your data stays on your device ⚡ BYOK support — bring your own API key from OpenAI, Google, DeepSeek and more 🖥️ Local model support via Ollama 📎 Connects to Gmail, Google Docs, local files, YouTube, and more 🛠️ Build reusable aApp workflows powered by your own knowledge This is not another note-taking app. This is your personal agent — one that already knows your world. From knowledge to getting things done. 👉 Try remio today. -
Hey! I'm Kwan, the solo founder behind Oddsmyth. I built this because I play in 2 Yahoo H2H fantasy baseball leagues and was spending 30+ minutes every morning researching lineups, scanning the waiver wire, and evaluating trades. The tools I tried (FantasyPros, Yahoo's built-in recs) all had the same problem: they don't know my league. They give generic advice based on generic rankings. Oddsmyth connects to your Yahoo Fantasy league and actually knows your roster, your opponents, your scoring settings, and who's available on your waiver wire. You can ask it anything in plain English ("who should I start today?", "is this trade worth it?", "who should I grab off waivers?") and it gives you a specific answer with reasoning based on your situation. It's not meant to replace doing your own research. It's a second opinion you can bounce decisions off of when you're torn on a close call or managing multiple leagues and don't have time to dig into every decision. The AI is powered by Claude and uses live data from the MLB Stats API, FanGraphs Steamer projections, and your Yahoo league data. You get 5 free credits to try it. Quick questions (game times, scores, injury checks) are always free. I'd love feedback from anyone who plays Yahoo fantasy baseball. What's working, what's not, what would make it more useful. I'm building this in public and actively improving it based on what real users tell me. -
-
-
Other tools
- SponsorMongoDB - Build AI That Scales🗄️ Database
-
Love the app. Used it to find a good balance in performance to play at a higher graphics setting but with over 100 FPS which was really useful in making Marvel Rivals more enjoyable to play this season!
-
Dope career/job finding tool. Kael gets in depth understanding of your career goals to find the right listings.
-
-
Impressive work from the team at Tented.ai, their approach to AI-driven automation is genuinely next-level.
-
- New: Animal Cup — a fully playable soccer game built no-code on HappySeeds. Pick your team, choose a formation, kick off. Play it right now. - 8 animal national teams, 6 formations, home/away & AI difficulty, with a hand-drawn HUD and live match stats - Watch the lion roar after a goal and the rooster crow on the touchline — broadcast-style replays, animal celebrations, and all-new sound design - Now on mobile: touch controls and full-screen play — grab a friend and play on any phone Built by a community modder on HappySeeds — shared here as a use case of what you can create.
-
-
Rename, organize, and search files by content with local AIOpen - Didn't find the AI you were looking for?
-
OpenRecruitment in AutoPilot. Customisable hiring rounds as per Job Roles Adaptive Voice AI Interview -
Real-time AI-powered Scripture display and note taker that responds to voice.Open -
OpenI built Remy to solve a problem I face every day: Newsletter overload 📬 Remy is your personal AI assistant that summarizes all your newsletters into a single digest email. Go from a cluttered inbox to a clear, concise briefing in one go. -
Really smooth experience with Vivgrid, makes taking agents to production way easier.
-
Your AI-powered file organizer that respects privacy for macosOpenGood Replacement for the sparkle. Keep it up -
-
Ask the community
Nabasa Isaac
🙏 1 karma
Oct 31, 2024
# Part (a): Add a Student
def add_student(student_list, student_id, name, age, course):
# Check for unique student ID
for student in student_list:
if student['student_id'] == student_id:
print(f"Error: Student ID {student_id} already exists!")
return
# Add the new student
student_list.append({
'student_id': student_id,
'name': name,
'age': age,
'course': course
})
print(f"Student {name} added successfully.")
# Part (b1): Find a Student by ID
def find_student_by_id(student_list, student_id):
for student in student_list:
if student['student_id'] == student_id:
return student
print("Student not found!")
return None
# Part (b2): Remove a Student by ID
def remove_student_by_id(student_list, student_id):
for student in student_list:
if student['student_id'] == student_id:
student_list.remove(student)
print(f"Student ID {student_id} removed successfully.")
return
print("Student not found!")
# Part (c): Class Definitions
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def __str__(self):
return f"Name: {self.name}, Age: {self.age}"
class Student(Person):
def __init__(self, name, age, course):
super().__init__(name, age)
self.course = course
def study(self):
print(f"Student is studying {self.course}")
class Instructor(Person):
def __init__(self, name, age, subject):
super().__init__(name, age)
self.subject = subject
def teach(self):
print(f"Instructor is teaching {self.subject}")
# Demonstration of polymorphism
student1 = Student("Alice", 20, "Mathematics")
instructor1 = Instructor("Bob", 40, "Physics")
print(student1) # Uses __str__ from Person
student1.study() # Calls study method from Student
print(instructor1) # Uses __str__ from Person
instructor1.teach() # Calls teach method from Instructor
# Part (d): Higher-order function for sorting students
def sort_students(student_list, key_function):
return sorted(student_list, key=key_function)
# Sample student list
students = [
{"student_id": 1, "name": "Alice", "age": 20, "course": "Mathematics"},
{"student_id": 2, "name": "Bob", "age": 22, "course": "Physics"},
{"student_id": 3, "name": "Charlie", "age": 19, "course": "Chemistry"}
]
# Demonstrate sorting by age
sorted_by_age = sort_students(students, key_function=lambda s: s["age"])
print("Students sorted by age:", sorted_by_age)
# Demonstrate sorting by name
sorted_by_name = sort_students(students, key_function=lambda s: s["name"])
print("Students sorted by name:", sorted_by_name)
